From 197807f002eb64a6d3d1c260449cacaf4548404b Mon Sep 17 00:00:00 2001
From: Nick <nickgray@liverpool.ac.uk>
Date: Tue, 10 Sep 2024 13:45:25 +0100
Subject: [PATCH] 0.90

---
 docs/_build/doctrees/cbox.doctree          |  Bin 10442 -> 15783 bytes
 docs/_build/doctrees/distributions.doctree |  Bin 344290 -> 323368 bytes
 docs/_build/doctrees/environment.pickle    |  Bin 687938 -> 1284143 bytes
 docs/_build/doctrees/interval.doctree      |  Bin 117283 -> 116775 bytes
 docs/_build/doctrees/logical.doctree       |  Bin 50876 -> 50374 bytes
 docs/_build/doctrees/nppbox.doctree        |  Bin 152719 -> 154057 bytes
 docs/_build/doctrees/pbox.doctree          |  Bin 126489 -> 122942 bytes
 docs/_build/html/cbox.html                 |   46 +-
 docs/_build/html/distributions.html        |   36 +-
 docs/_build/html/genindex.html             |   38 +-
 docs/_build/html/index.html                |    9 +-
 docs/_build/html/interval.html             |    2 +-
 docs/_build/html/logical.html              |    2 +-
 docs/_build/html/nppbox.html               |    4 +-
 docs/_build/html/objects.inv               |  Bin 1908 -> 1912 bytes
 docs/_build/html/pbox.html                 |    4 +-
 docs/_build/html/searchindex.js            |    2 +-
 pba/__init__.py                            |    3 +-
 pba/pbox.py                                |   24 +-
 pba/pbox_constructors/distributions.py     | 1677 +-------------------
 pba/pbox_constructors/parametric.py        |   14 +-
 pyproject.toml                             |    2 +-
 setup.py                                   |    2 +-
 tests/test_core.py                         |    2 +-
 24 files changed, 147 insertions(+), 1720 deletions(-)

diff --git a/docs/_build/doctrees/cbox.doctree b/docs/_build/doctrees/cbox.doctree
index 745c223691fe89cb9ea8c639f470f6ba15120400..7a6e078b9227c2396c42e3f60465c09074b2d6cf 100644
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diff --git a/docs/_build/doctrees/interval.doctree b/docs/_build/doctrees/interval.doctree
index 3395905f1635606f9ad3fef198a975a16e951bb3..5487d686d883fd07cff6096313b6dd46356e18d7 100644
GIT binary patch
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delta 3109
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diff --git a/docs/_build/doctrees/logical.doctree b/docs/_build/doctrees/logical.doctree
index d6dda256c700a06fd766b89c6f80c81a0f26609e..6c82d4c0ab626b63dd86286ed1d28f294e44cb03 100644
GIT binary patch
delta 5969
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delta 6134
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diff --git a/docs/_build/doctrees/nppbox.doctree b/docs/_build/doctrees/nppbox.doctree
index fcb126b31dcd1565ce52cfac168e459293cebce5..40cc05badde8bdf5421e5cb8de82a5b0eb193e52 100644
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diff --git a/docs/_build/doctrees/pbox.doctree b/docs/_build/doctrees/pbox.doctree
index 0c87022d114da318cc3a28c773323b9d42a9cdb5..a0a429f6155ac14881485d74bccc83bc4ca6ded0 100644
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diff --git a/docs/_build/html/cbox.html b/docs/_build/html/cbox.html
index 30f8650..6826b76 100644
--- a/docs/_build/html/cbox.html
+++ b/docs/_build/html/cbox.html
@@ -208,25 +208,43 @@ <h1>Confidence Boxes<a class="headerlink" href="#confidence-boxes" title="Link t
 <dt>Args:</dt><dd><p>Pbox (_type_): _description_</p>
 </dd>
 </dl>
-<div class="admonition attention">
-<p class="admonition-title">Attention</p>
-<p>It is usually better to define p-boxes using distributions or non-parametric methods (see ). This constructor is provided for completeness and for the construction of p-boxes with precise inputs.</p>
-</div>
-<p><strong>Parameters:</strong></p>
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.cbox.Cbox.__init__">
 <span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.__init__" title="Link to this definition">#</a></dt>
-<dd><div class="admonition attention">
-<p class="admonition-title">Attention</p>
-<p>It is usually better to define p-boxes using distributions or non-parametric methods (see ). This constructor is provided for completeness and for the construction of p-boxes with precise inputs.</p>
-</div>
-<p><strong>Parameters:</strong></p>
-</dd></dl>
+<dd></dd></dl>
 
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.cbox.Cbox.add">
 <span class="sig-name descname"><span class="pre">add</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.add" title="Link to this definition">#</a></dt>
-<dd><p>Adds to Pbox to other using the defined dependency method</p>
+<dd><p>Adds other to Pbox to other using the defined dependency method</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="pba.cbox.Cbox.div">
+<span class="sig-name descname"><span class="pre">div</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.div" title="Link to this definition">#</a></dt>
+<dd><p>Divides Pbox by other using the defined dependency method</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="pba.cbox.Cbox.mul">
+<span class="sig-name descname"><span class="pre">mul</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.mul" title="Link to this definition">#</a></dt>
+<dd><p>Multiplies other and Pbox using the defined dependency method</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="pba.cbox.Cbox.recip">
+<span class="sig-name descname"><span class="pre">recip</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.recip" title="Link to this definition">#</a></dt>
+<dd><p>Calculates the reciprocal of a p-box.</p>
+<div class="admonition error">
+<p class="admonition-title">Error</p>
+<p><code class="docutils literal notranslate"><span class="pre">DivisionByZero</span></code> is raised if the p-box contains 0.</p>
+</div>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="pba.cbox.Cbox.sub">
+<span class="sig-name descname"><span class="pre">sub</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">other</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.cbox.Cbox.sub" title="Link to this definition">#</a></dt>
+<dd><p>Subtracts other from Pbox using the defined dependency method</p>
 </dd></dl>
 
 </dd></dl>
@@ -292,6 +310,10 @@ <h1>Confidence Boxes<a class="headerlink" href="#confidence-boxes" title="Link t
 <li><a class="reference internal" href="#pba.cbox.Cbox"><code class="docutils literal notranslate"><span class="pre">Cbox</span></code></a><ul>
 <li><a class="reference internal" href="#pba.cbox.Cbox.__init__"><code class="docutils literal notranslate"><span class="pre">Cbox.__init__()</span></code></a></li>
 <li><a class="reference internal" href="#pba.cbox.Cbox.add"><code class="docutils literal notranslate"><span class="pre">Cbox.add()</span></code></a></li>
+<li><a class="reference internal" href="#pba.cbox.Cbox.div"><code class="docutils literal notranslate"><span class="pre">Cbox.div()</span></code></a></li>
+<li><a class="reference internal" href="#pba.cbox.Cbox.mul"><code class="docutils literal notranslate"><span class="pre">Cbox.mul()</span></code></a></li>
+<li><a class="reference internal" href="#pba.cbox.Cbox.recip"><code class="docutils literal notranslate"><span class="pre">Cbox.recip()</span></code></a></li>
+<li><a class="reference internal" href="#pba.cbox.Cbox.sub"><code class="docutils literal notranslate"><span class="pre">Cbox.sub()</span></code></a></li>
 </ul>
 </li>
 </ul>
diff --git a/docs/_build/html/distributions.html b/docs/_build/html/distributions.html
index 24ae5da..2ee2a51 100644
--- a/docs/_build/html/distributions.html
+++ b/docs/_build/html/distributions.html
@@ -201,12 +201,8 @@
 <span id="distributions"></span><h1>Distributions<a class="headerlink" href="#module-pba.pbox_constructors.parametric" title="Link to this heading">#</a></h1>
 <section id="automatically-generated">
 <span id="pbox-constructors-sp"></span><h2>Automatically generated<a class="headerlink" href="#automatically-generated" title="Link to this heading">#</a></h2>
-<p>P-boxes based generated from scipy.stats distributions.</p>
+<p>P-boxes based on scipy.stats distributions.</p>
 <p>These p-boxes are generated using the scipy.stats distributions. The p-boxes are generated by taking the minimum and maximum values of the inverse CDF of the distribution for a given set of parameters.</p>
-<p>The p-boxes are generated using the following function</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span>
-</pre></div>
-</div>
 </section>
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.alpha">
@@ -233,11 +229,6 @@
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">bernoulli</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.bernoulli" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py function">
-<dt class="sig sig-object py" id="pba.pbox_constructors.parametric.beta">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">beta</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.beta" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.betabinom">
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">betabinom</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.betabinom" title="Link to this definition">#</a></dt>
@@ -358,11 +349,6 @@
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">foldcauchy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.foldcauchy" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py function">
-<dt class="sig sig-object py" id="pba.pbox_constructors.parametric.foldnorm">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">foldnorm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.foldnorm" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.gamma">
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">gamma</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.gamma" title="Link to this definition">#</a></dt>
@@ -548,11 +534,6 @@
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">loglaplace</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.loglaplace" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py function">
-<dt class="sig sig-object py" id="pba.pbox_constructors.parametric.lognorm">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">lognorm</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.lognorm" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.logser">
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">logser</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.logser" title="Link to this definition">#</a></dt>
@@ -698,11 +679,6 @@
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">t</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.t" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py function">
-<dt class="sig sig-object py" id="pba.pbox_constructors.parametric.trapz">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">trapz</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.trapz" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.triang">
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">triang</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.triang" title="Link to this definition">#</a></dt>
@@ -723,11 +699,6 @@
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">tukeylambda</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.tukeylambda" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
-<dl class="py function">
-<dt class="sig sig-object py" id="pba.pbox_constructors.parametric.uniform">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">uniform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.uniform" title="Link to this definition">#</a></dt>
-<dd></dd></dl>
-
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.parametric.vonmises">
 <span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.parametric.</span></span><span class="sig-name descname"><span class="pre">vonmises</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">support</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">Interval[0.0001,</span> <span class="pre">0.9999]</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.parametric.vonmises" title="Link to this definition">#</a></dt>
@@ -832,7 +803,6 @@
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.arcsine"><code class="docutils literal notranslate"><span class="pre">arcsine()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.argus"><code class="docutils literal notranslate"><span class="pre">argus()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.bernoulli"><code class="docutils literal notranslate"><span class="pre">bernoulli()</span></code></a></li>
-<li><a class="reference internal" href="#pba.pbox_constructors.parametric.beta"><code class="docutils literal notranslate"><span class="pre">beta()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.betabinom"><code class="docutils literal notranslate"><span class="pre">betabinom()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.betaprime"><code class="docutils literal notranslate"><span class="pre">betaprime()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.binom"><code class="docutils literal notranslate"><span class="pre">binom()</span></code></a></li>
@@ -857,7 +827,6 @@
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.fatiguelife"><code class="docutils literal notranslate"><span class="pre">fatiguelife()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.fisk"><code class="docutils literal notranslate"><span class="pre">fisk()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.foldcauchy"><code class="docutils literal notranslate"><span class="pre">foldcauchy()</span></code></a></li>
-<li><a class="reference internal" href="#pba.pbox_constructors.parametric.foldnorm"><code class="docutils literal notranslate"><span class="pre">foldnorm()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.gamma"><code class="docutils literal notranslate"><span class="pre">gamma()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.gausshyper"><code class="docutils literal notranslate"><span class="pre">gausshyper()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.genexpon"><code class="docutils literal notranslate"><span class="pre">genexpon()</span></code></a></li>
@@ -895,7 +864,6 @@
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.loggamma"><code class="docutils literal notranslate"><span class="pre">loggamma()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.logistic"><code class="docutils literal notranslate"><span class="pre">logistic()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.loglaplace"><code class="docutils literal notranslate"><span class="pre">loglaplace()</span></code></a></li>
-<li><a class="reference internal" href="#pba.pbox_constructors.parametric.lognorm"><code class="docutils literal notranslate"><span class="pre">lognorm()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.logser"><code class="docutils literal notranslate"><span class="pre">logser()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.loguniform"><code class="docutils literal notranslate"><span class="pre">loguniform()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.lomax"><code class="docutils literal notranslate"><span class="pre">lomax()</span></code></a></li>
@@ -925,12 +893,10 @@
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.skellam"><code class="docutils literal notranslate"><span class="pre">skellam()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.skewnorm"><code class="docutils literal notranslate"><span class="pre">skewnorm()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.t"><code class="docutils literal notranslate"><span class="pre">t()</span></code></a></li>
-<li><a class="reference internal" href="#pba.pbox_constructors.parametric.trapz"><code class="docutils literal notranslate"><span class="pre">trapz()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.triang"><code class="docutils literal notranslate"><span class="pre">triang()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.truncexpon"><code class="docutils literal notranslate"><span class="pre">truncexpon()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.truncnorm"><code class="docutils literal notranslate"><span class="pre">truncnorm()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.tukeylambda"><code class="docutils literal notranslate"><span class="pre">tukeylambda()</span></code></a></li>
-<li><a class="reference internal" href="#pba.pbox_constructors.parametric.uniform"><code class="docutils literal notranslate"><span class="pre">uniform()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.vonmises"><code class="docutils literal notranslate"><span class="pre">vonmises()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.vonmises_line"><code class="docutils literal notranslate"><span class="pre">vonmises_line()</span></code></a></li>
 <li><a class="reference internal" href="#pba.pbox_constructors.parametric.wald"><code class="docutils literal notranslate"><span class="pre">wald()</span></code></a></li>
diff --git a/docs/_build/html/genindex.html b/docs/_build/html/genindex.html
index 009015a..ae533c4 100644
--- a/docs/_build/html/genindex.html
+++ b/docs/_build/html/genindex.html
@@ -250,8 +250,6 @@ <h2>B</h2>
   <table style="width: 100%" class="indextable genindextable"><tr>
     <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.bernoulli">bernoulli() (in module pba.pbox_constructors.parametric)</a>
-</li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.beta">beta() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.betabinom">betabinom() (in module pba.pbox_constructors.parametric)</a>
 </li>
@@ -303,9 +301,11 @@ <h2>D</h2>
     <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.dgamma">dgamma() (in module pba.pbox_constructors.parametric)</a>
 </li>
-        <li><a href="interval.html#pba.interval.Interval.div">div() (pba.interval.Interval method)</a>
+        <li><a href="cbox.html#pba.cbox.Cbox.div">div() (pba.cbox.Cbox method)</a>
 
         <ul>
+          <li><a href="interval.html#pba.interval.Interval.div">(pba.interval.Interval method)</a>
+</li>
           <li><a href="pbox.html#pba.pbox.Pbox.div">(pba.pbox.Pbox method)</a>
 </li>
         </ul></li>
@@ -360,14 +360,12 @@ <h2>F</h2>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.f">f() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.fatiguelife">fatiguelife() (in module pba.pbox_constructors.parametric)</a>
-</li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.fisk">fisk() (in module pba.pbox_constructors.parametric)</a>
 </li>
     </ul></td>
     <td style="width: 33%; vertical-align: top;"><ul>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.foldcauchy">foldcauchy() (in module pba.pbox_constructors.parametric)</a>
+        <li><a href="distributions.html#pba.pbox_constructors.parametric.fisk">fisk() (in module pba.pbox_constructors.parametric)</a>
 </li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.foldnorm">foldnorm() (in module pba.pbox_constructors.parametric)</a>
+        <li><a href="distributions.html#pba.pbox_constructors.parametric.foldcauchy">foldcauchy() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="nppbox.html#pba.pbox_constructors.non_parametric.from_percentiles">from_percentiles() (in module pba.pbox_constructors.non_parametric)</a>
 </li>
@@ -524,18 +522,16 @@ <h2>L</h2>
 </li>
         </ul></li>
         <li><a href="interval.html#pba.interval.Interval.log">log() (pba.interval.Interval method)</a>
-</li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.loggamma">loggamma() (in module pba.pbox_constructors.parametric)</a>
 </li>
     </ul></td>
     <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="distributions.html#pba.pbox_constructors.parametric.loggamma">loggamma() (in module pba.pbox_constructors.parametric)</a>
+</li>
         <li><a href="logical.html#pba.logical.Logical">Logical (class in pba.logical)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.logistic">logistic() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.loglaplace">loglaplace() (in module pba.pbox_constructors.parametric)</a>
-</li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.lognorm">lognorm() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.logser">logser() (in module pba.pbox_constructors.parametric)</a>
 </li>
@@ -609,6 +605,8 @@ <h2>M</h2>
         <li><a href="core.html#pba.core.mul">mul() (in module pba.core)</a>
 
         <ul>
+          <li><a href="cbox.html#pba.cbox.Cbox.mul">(pba.cbox.Cbox method)</a>
+</li>
           <li><a href="interval.html#pba.interval.Interval.mul">(pba.interval.Interval method)</a>
 </li>
           <li><a href="pbox.html#pba.pbox.Pbox.mul">(pba.pbox.Pbox method)</a>
@@ -744,14 +742,16 @@ <h2>R</h2>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.rdist">rdist() (in module pba.pbox_constructors.parametric)</a>
 </li>
-    </ul></td>
-    <td style="width: 33%; vertical-align: top;"><ul>
-        <li><a href="interval.html#pba.interval.Interval.recip">recip() (pba.interval.Interval method)</a>
+        <li><a href="cbox.html#pba.cbox.Cbox.recip">recip() (pba.cbox.Cbox method)</a>
 
         <ul>
+          <li><a href="interval.html#pba.interval.Interval.recip">(pba.interval.Interval method)</a>
+</li>
           <li><a href="pbox.html#pba.pbox.Pbox.recip">(pba.pbox.Pbox method)</a>
 </li>
         </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.recipinvgauss">recipinvgauss() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.rice">rice() (in module pba.pbox_constructors.parametric)</a>
@@ -796,9 +796,11 @@ <h2>S</h2>
           <li><a href="pbox.html#pba.pbox.Pbox.straddles_zero">(pba.pbox.Pbox method)</a>
 </li>
         </ul></li>
-        <li><a href="interval.html#pba.interval.Interval.sub">sub() (pba.interval.Interval method)</a>
+        <li><a href="cbox.html#pba.cbox.Cbox.sub">sub() (pba.cbox.Cbox method)</a>
 
         <ul>
+          <li><a href="interval.html#pba.interval.Interval.sub">(pba.interval.Interval method)</a>
+</li>
           <li><a href="pbox.html#pba.pbox.Pbox.sub">(pba.pbox.Pbox method)</a>
 </li>
         </ul></li>
@@ -821,8 +823,6 @@ <h2>T</h2>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.t">t() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="interval.html#pba.interval.Interval.to_logical">to_logical() (pba.interval.Interval method)</a>
-</li>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.trapz">trapz() (in module pba.pbox_constructors.parametric)</a>
 </li>
         <li><a href="distributions.html#pba.pbox_constructors.parametric.triang">triang() (in module pba.pbox_constructors.parametric)</a>
 </li>
@@ -845,10 +845,6 @@ <h2>U</h2>
   <table style="width: 100%" class="indextable genindextable"><tr>
     <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="pbox.html#pba.pbox.Pbox.unary">unary() (pba.pbox.Pbox method)</a>
-</li>
-    </ul></td>
-    <td style="width: 33%; vertical-align: top;"><ul>
-        <li><a href="distributions.html#pba.pbox_constructors.parametric.uniform">uniform() (in module pba.pbox_constructors.parametric)</a>
 </li>
     </ul></td>
   </tr></table>
diff --git a/docs/_build/html/index.html b/docs/_build/html/index.html
index 9b5269b..d2fa698 100644
--- a/docs/_build/html/index.html
+++ b/docs/_build/html/index.html
@@ -280,7 +280,6 @@ <h1>Probability Bounds Analysis for Python<a class="headerlink" href="#probabili
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.arcsine"><code class="docutils literal notranslate"><span class="pre">arcsine()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.argus"><code class="docutils literal notranslate"><span class="pre">argus()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.bernoulli"><code class="docutils literal notranslate"><span class="pre">bernoulli()</span></code></a></li>
-<li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.beta"><code class="docutils literal notranslate"><span class="pre">beta()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.betabinom"><code class="docutils literal notranslate"><span class="pre">betabinom()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.betaprime"><code class="docutils literal notranslate"><span class="pre">betaprime()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.binom"><code class="docutils literal notranslate"><span class="pre">binom()</span></code></a></li>
@@ -305,7 +304,6 @@ <h1>Probability Bounds Analysis for Python<a class="headerlink" href="#probabili
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.fatiguelife"><code class="docutils literal notranslate"><span class="pre">fatiguelife()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.fisk"><code class="docutils literal notranslate"><span class="pre">fisk()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.foldcauchy"><code class="docutils literal notranslate"><span class="pre">foldcauchy()</span></code></a></li>
-<li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.foldnorm"><code class="docutils literal notranslate"><span class="pre">foldnorm()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.gamma"><code class="docutils literal notranslate"><span class="pre">gamma()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.gausshyper"><code class="docutils literal notranslate"><span class="pre">gausshyper()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.genexpon"><code class="docutils literal notranslate"><span class="pre">genexpon()</span></code></a></li>
@@ -343,7 +341,6 @@ <h1>Probability Bounds Analysis for Python<a class="headerlink" href="#probabili
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.loggamma"><code class="docutils literal notranslate"><span class="pre">loggamma()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.logistic"><code class="docutils literal notranslate"><span class="pre">logistic()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.loglaplace"><code class="docutils literal notranslate"><span class="pre">loglaplace()</span></code></a></li>
-<li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.lognorm"><code class="docutils literal notranslate"><span class="pre">lognorm()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.logser"><code class="docutils literal notranslate"><span class="pre">logser()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.loguniform"><code class="docutils literal notranslate"><span class="pre">loguniform()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.lomax"><code class="docutils literal notranslate"><span class="pre">lomax()</span></code></a></li>
@@ -373,12 +370,10 @@ <h1>Probability Bounds Analysis for Python<a class="headerlink" href="#probabili
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.skellam"><code class="docutils literal notranslate"><span class="pre">skellam()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.skewnorm"><code class="docutils literal notranslate"><span class="pre">skewnorm()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.t"><code class="docutils literal notranslate"><span class="pre">t()</span></code></a></li>
-<li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.trapz"><code class="docutils literal notranslate"><span class="pre">trapz()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.triang"><code class="docutils literal notranslate"><span class="pre">triang()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.truncexpon"><code class="docutils literal notranslate"><span class="pre">truncexpon()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.truncnorm"><code class="docutils literal notranslate"><span class="pre">truncnorm()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.tukeylambda"><code class="docutils literal notranslate"><span class="pre">tukeylambda()</span></code></a></li>
-<li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.uniform"><code class="docutils literal notranslate"><span class="pre">uniform()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.vonmises"><code class="docutils literal notranslate"><span class="pre">vonmises()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.vonmises_line"><code class="docutils literal notranslate"><span class="pre">vonmises_line()</span></code></a></li>
 <li class="toctree-l2"><a class="reference internal" href="distributions.html#pba.pbox_constructors.parametric.wald"><code class="docutils literal notranslate"><span class="pre">wald()</span></code></a></li>
@@ -422,6 +417,10 @@ <h1>Probability Bounds Analysis for Python<a class="headerlink" href="#probabili
 <li class="toctree-l2"><a class="reference internal" href="cbox.html#pba.cbox.Cbox"><code class="docutils literal notranslate"><span class="pre">Cbox</span></code></a><ul>
 <li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.__init__"><code class="docutils literal notranslate"><span class="pre">Cbox.__init__()</span></code></a></li>
 <li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.add"><code class="docutils literal notranslate"><span class="pre">Cbox.add()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.div"><code class="docutils literal notranslate"><span class="pre">Cbox.div()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.mul"><code class="docutils literal notranslate"><span class="pre">Cbox.mul()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.recip"><code class="docutils literal notranslate"><span class="pre">Cbox.recip()</span></code></a></li>
+<li class="toctree-l3"><a class="reference internal" href="cbox.html#pba.cbox.Cbox.sub"><code class="docutils literal notranslate"><span class="pre">Cbox.sub()</span></code></a></li>
 </ul>
 </li>
 </ul>
diff --git a/docs/_build/html/interval.html b/docs/_build/html/interval.html
index 505586c..be9bfbf 100644
--- a/docs/_build/html/interval.html
+++ b/docs/_build/html/interval.html
@@ -652,7 +652,7 @@ <h2>Arithmetic<a class="headerlink" href="#arithmetic" title="Link to this headi
 
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.interval.Interval.sample">
-<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy_rng</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#pba.interval.Interval.sample" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">numpy_rng</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Generator</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">float</span></span></span><a class="headerlink" href="#pba.interval.Interval.sample" title="Link to this definition">#</a></dt>
 <dd><p>Generate a random sample within the interval.</p>
 <p><strong>Parameters</strong>:</p>
 <blockquote>
diff --git a/docs/_build/html/logical.html b/docs/_build/html/logical.html
index 69ba1c1..d21232c 100644
--- a/docs/_build/html/logical.html
+++ b/docs/_build/html/logical.html
@@ -212,7 +212,7 @@
 </div></blockquote>
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.logical.Logical.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.logical.Logical.__init__" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.logical.Logical.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 </dd></dl>
diff --git a/docs/_build/html/nppbox.html b/docs/_build/html/nppbox.html
index a95a5a1..6d10ffc 100644
--- a/docs/_build/html/nppbox.html
+++ b/docs/_build/html/nppbox.html
@@ -229,7 +229,7 @@
 
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.non_parametric.box">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.non_parametric.</span></span><span class="sig-name descname"><span class="pre">box</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'box'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.non_parametric.box" title="Link to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.non_parametric.</span></span><span class="sig-name descname"><span class="pre">box</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'box'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.non_parametric.box" title="Link to this definition">#</a></dt>
 <dd><p>Returns a box shaped Pbox. This is equivalent to an Interval expressed as a Pbox.</p>
 <p><strong>Parameters</strong>:</p>
 <blockquote>
@@ -244,7 +244,7 @@
 
 <dl class="py function">
 <dt class="sig sig-object py" id="pba.pbox_constructors.non_parametric.min_max">
-<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.non_parametric.</span></span><span class="sig-name descname"><span class="pre">min_max</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'box'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.non_parametric.min_max" title="Link to this definition">#</a></dt>
+<span class="sig-prename descclassname"><span class="pre">pba.pbox_constructors.non_parametric.</span></span><span class="sig-name descname"><span class="pre">min_max</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'box'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="pbox.html#pba.pbox.Pbox" title="pba.pbox.Pbox"><span class="pre">Pbox</span></a></span></span><a class="headerlink" href="#pba.pbox_constructors.non_parametric.min_max" title="Link to this definition">#</a></dt>
 <dd><p>Returns a box shaped Pbox. This is equivalent to an Interval expressed as a Pbox.</p>
 <p><strong>Parameters</strong>:</p>
 <blockquote>
diff --git a/docs/_build/html/objects.inv b/docs/_build/html/objects.inv
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diff --git a/docs/_build/html/pbox.html b/docs/_build/html/pbox.html
index 801f360..7aa5e37 100644
--- a/docs/_build/html/pbox.html
+++ b/docs/_build/html/pbox.html
@@ -245,7 +245,7 @@ <h1>Probability Boxes<a class="headerlink" href="#probability-boxes" title="Link
 </div>
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.pbox.Pbox.__init__">
-<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Interval[-inf,</span> <span class="pre">inf]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Interval[0,</span> <span class="pre">inf]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean_left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean_right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_moments</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.pbox.Pbox.__init__" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">steps</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">shape</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">''</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Interval[-inf,</span> <span class="pre">inf]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">Interval[0,</span> <span class="pre">inf]</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean_left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mean_right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_left</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">var_right</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'linear'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">check_moments</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.pbox.Pbox.__init__" title="Link to this definition">#</a></dt>
 <dd></dd></dl>
 
 <dl class="py method">
@@ -479,7 +479,7 @@ <h1>Probability Boxes<a class="headerlink" href="#probability-boxes" title="Link
 
 <dl class="py method">
 <dt class="sig sig-object py" id="pba.pbox.Pbox.truncate">
-<span class="sig-name descname"><span class="pre">truncate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.pbox.Pbox.truncate" title="Link to this definition">#</a></dt>
+<span class="sig-name descname"><span class="pre">truncate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">a</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="interval.html#pba.interval.Interval" title="pba.interval.Interval"><span class="pre">Interval</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">method</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'f'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#pba.pbox.Pbox.truncate" title="Link to this definition">#</a></dt>
 <dd><p>Truncates a p-box to the interval [a,b], or a if b is not specified and a is an Interval.</p>
 <p><strong>Arguments:</strong></p>
 <blockquote>
diff --git a/docs/_build/html/searchindex.js b/docs/_build/html/searchindex.js
index 31d1ad2..b6eb4dc 100644
--- a/docs/_build/html/searchindex.js
+++ b/docs/_build/html/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
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[3, 3, 1, "", "maxwell"], [3, 3, 1, "", "mielke"], [3, 3, 1, "", "moyal"], [3, 3, 1, "", "nakagami"], [3, 3, 1, "", "nbinom"], [3, 3, 1, "", "ncf"], [3, 3, 1, "", "nct"], [3, 3, 1, "", "ncx2"], [3, 3, 1, "", "norm"], [3, 3, 1, "", "norminvgauss"], [3, 3, 1, "", "pareto"], [3, 3, 1, "", "pearson3"], [3, 3, 1, "", "planck"], [3, 3, 1, "", "poisson"], [3, 3, 1, "", "powerlaw"], [3, 3, 1, "", "powerlognorm"], [3, 3, 1, "", "powernorm"], [3, 3, 1, "", "randint"], [3, 3, 1, "", "rayleigh"], [3, 3, 1, "", "rdist"], [3, 3, 1, "", "recipinvgauss"], [3, 3, 1, "", "rice"], [3, 3, 1, "", "semicircular"], [3, 3, 1, "", "skellam"], [3, 3, 1, "", "skewnorm"], [3, 3, 1, "", "t"], [3, 3, 1, "", "triang"], [3, 3, 1, "", "truncexpon"], [3, 3, 1, "", "truncnorm"], [3, 3, 1, "", "tukeylambda"], [3, 3, 1, "", "vonmises"], [3, 3, 1, "", "vonmises_line"], [3, 3, 1, "", "wald"], [3, 3, 1, "", "weibull_max"], [3, 3, 1, "", "weibull_min"], [3, 3, 1, "", "wrapcauchy"], [3, 3, 1, "", "yulesimon"], [3, 3, 1, "", "zipf"]]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:module", "3": "py:function"}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "module", "Python module"], "3": ["py", "function", "Python function"]}, "titleterms": {"confid": 0, "box": [0, 7, 8], "depend": 2, "arithmet": [2, 5], "distribut": 3, "base": [], "p": 7, "paramet": [], "return": [], "pba": [], "python": 4, "interv": 5, "default": 5, "valu": 5, "logic": 6, "probabl": [4, 8], "util": [], "output": [], "useful": [], "function": 1, "us": 1, "implement": [5, 7, 8], "non": 7, "parametr": 7, "gener": 3, "creation": 5, "plu": 5, "minu": 5, "bound": 4, "analysi": 4, "automat": 3}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx": 60}, "alltitles": {"Confidence Boxes": [[0, "confidence-boxes"]], "Dependency Arithmetic": [[2, "dependency-arithmetic"]], "Probability Bounds Analysis for Python": [[4, "probability-bounds-analysis-for-python"]], "Intervals": [[5, "intervals"]], "Creation": [[5, "creation"]], "Arithmetic": [[5, "arithmetic"]], "Default values": [[5, null]], "Implementation": [[5, null], [5, null], [5, null], [5, null], [5, null], [7, null], [8, null], [8, null]], "Plus-Minus Intervals": [[5, "plus-minus-intervals"]], "Non-parametric p-boxes": [[7, "module-pba.pbox_constructors.non_parametric"]], "Distributions": [[3, "module-pba.pbox_constructors.parametric"]], "Automatically generated": [[3, "automatically-generated"]], "Useful Functions": [[1, "useful-functions"]], "Logical": [[6, "module-pba.logical"]], "Probability Boxes": [[8, "probability-boxes"]]}, "indexentries": {"env() (in module pba.core)": [[1, "pba.core.env"]], "envelope() (in module pba.core)": [[1, "pba.core.envelope"]], "mean() (in module pba.core)": [[1, "pba.core.mean"]], "module": [[1, "module-pba.core"], [6, "module-pba.logical"]], "mul() (in module pba.core)": [[1, "pba.core.mul"]], "pba.core": [[1, "module-pba.core"]], "sqrt() (in module pba.core)": [[1, "pba.core.sqrt"]], "sum() (in module pba.core)": [[1, "pba.core.sum"]], "logical (class in pba.logical)": [[6, "pba.logical.Logical"]], "__init__() (pba.logical.logical method)": [[6, "pba.logical.Logical.__init__"]], "always() (in module pba.logical)": [[6, "pba.logical.always"]], "is_same_as() (in module pba.logical)": [[6, "pba.logical.is_same_as"]], "never() (in module pba.logical)": [[6, "pba.logical.never"]], "pba.logical": [[6, "module-pba.logical"]], "sometimes() (in module pba.logical)": [[6, "pba.logical.sometimes"]], "xtimes() (in module pba.logical)": [[6, "pba.logical.xtimes"]], "pbox (class in pba.pbox)": [[8, "pba.pbox.Pbox"]], "__init__() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.__init__"]], "add() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.add"]], "div() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.div"]], "env() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.env"]], "get_probability() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.get_probability"]], "hi() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.hi"]], "imp() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.imp"]], "interpolate() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.interpolate"]], "lo() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.lo"]], "max() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.max"]], "mean() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.mean"]], "median() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.median"]], "min() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.min"]], "mul() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.mul"]], "plot() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.plot"]], "pow() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.pow"]], "recip() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.recip"]], "show() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.show"]], "straddles() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.straddles"]], "straddles_zero() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.straddles_zero"]], "sub() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.sub"]], "summary() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.summary"]], "support() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.support"]], "truncate() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.truncate"]], "unary() (pba.pbox.pbox method)": [[8, "pba.pbox.Pbox.unary"]]}})
\ No newline at end of file
diff --git a/pba/__init__.py b/pba/__init__.py
index 5dfef97..30cabe6 100644
--- a/pba/__init__.py
+++ b/pba/__init__.py
@@ -1,8 +1,9 @@
 from .interval import *
-# from .parametric import *
 from .pbox import *
 from .copula import *
 from .core import *
 from .logical import *
+
 from .pbox_constructors.parametric import *
 from .pbox_constructors.non_parametric import *
+from .pbox_constructors.distributions import *
diff --git a/pba/pbox.py b/pba/pbox.py
index 2c79f0e..0596b42 100644
--- a/pba/pbox.py
+++ b/pba/pbox.py
@@ -145,13 +145,25 @@ def _arithmetic(a, b, method, op, enforce_steps = True, interpolation_method = '
 
         a, b = _check_steps(a, b)
 
-        if method == 'f':   nleft, nright = _f_arithmetic(a, b, op)
+        if method == 'f':
+            with catch_warnings():
+                simplefilter('ignore')
+                nleft, nright = _f_arithmetic(a, b, op)
 
-        elif method == 'p': nleft, nright = _p_arithmetic(a, b, op)
-
-        elif method == 'o': nleft, nright = _o_arithmetic(a, b, op)
-
-        elif method == 'i': nleft, nright = _i_arithmetic(a, b, op)
+        elif method == 'p':
+            with catch_warnings():
+                simplefilter('ignore')
+                nleft, nright = _p_arithmetic(a, b, op)
+
+        elif method == 'o':
+            with catch_warnings():
+                simplefilter('ignore')
+                nleft, nright = _o_arithmetic(a, b, op)
+
+        elif method == 'i':
+            with catch_warnings():
+                simplefilter('ignore')
+                nleft, nright = _i_arithmetic(a, b, op)
 
         else: raise ArithmeticError("Calculation method unkown")
         
diff --git a/pba/pbox_constructors/distributions.py b/pba/pbox_constructors/distributions.py
index b5f4b8d..23697c4 100644
--- a/pba/pbox_constructors/distributions.py
+++ b/pba/pbox_constructors/distributions.py
@@ -1,11 +1,21 @@
 '''
-This module contains functions to create p-boxes for various distributions.
+This module contains functions to create p-boxes for various distributions. These functions have been hand-coded to ensure accuracy. All other distributions can be found in the :mod:`pba.pbox_constructors.parametric` module.
 '''
 
 __all__ = [
     'beta',
-    'norm',
-    'N'
+    'foldnorm',
+    'normal',
+    'N',
+    'unif',
+    'U',
+    'KN',
+    'KM',
+    'lognormal',
+    'lognorm',
+    'trapz',
+    'uniform',
+    'weibull'
 ]
 
 
@@ -19,7 +29,7 @@
 from ..interval import Interval
 from ..pbox import Pbox
 from ..logical import sometimes
-from .parametric import parametric
+from .parametric import parametric, norm, weibull_max, weibull_min
 
 
 def lognormal(mean, var, steps = 200):
@@ -106,8 +116,6 @@ def beta(a,b, steps = 200):
             
     return parametric('beta').make_pbox(a,b,steps = steps, support=Interval(0,1))
 
-
-
 def foldnorm(mu,s, steps = 200):
 
     x = np.linspace(0.0001,0.9999,steps)
@@ -204,1640 +212,74 @@ def foldnorm(mu,s, steps = 200):
 #           var_right  = var.right
 #           )
 
-def genlogistic(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('genlogistic',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'genlogistic',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gennorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gennorm',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gennorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def genpareto(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('genpareto',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'genpareto',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def genexpon(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('genexpon',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'genexpon',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def genextreme(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('genextreme',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'genextreme',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gausshyper(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gausshyper',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gausshyper',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gamma(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gamma',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gamma',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gengamma(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gengamma',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gengamma',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def genhalflogistic(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('genhalflogistic',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'genhalflogistic',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def geninvgauss(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('geninvgauss',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'geninvgauss',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gompertz(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gompertz',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gompertz',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gumbel_r(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gumbel_r',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gumbel_r',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def gumbel_l(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('gumbel_l',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'gumbel_l',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def halfcauchy(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
+def trapz(a,b,c,d , steps = 200):
+    if a.__class__.__name__ != 'Interval':
+        a = Interval(a)
+    if b.__class__.__name__ != 'Interval':
+        b = Interval(b)
+    if c.__class__.__name__ != 'Interval':
+        c = Interval(c)
+    if d.__class__.__name__ != 'Interval':
+        d = Interval(d)
 
-    Left, Right, mean, var = __get_bounds('halfcauchy',steps,*args)
+    x = np.linspace(0.0001,0.9999,steps)
+    left = stats.trapz.ppf(x,*sorted([b.lo()/d.lo(),c.lo()/d.lo(),a.lo(),d.lo()-a.lo()]))
+    right = stats.trapz.ppf(x,*sorted([b.hi()/d.hi(),c.hi()/d.hi(),a.hi(),d.hi()-a.hi()]))
 
     return Pbox(
-          Left,
-          Right,
+          left,
+          right,
           steps      = steps,
-          shape      = 'halfcauchy',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
+          shape      = 'trapz'
           )
 
-def halflogistic(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
+def uniform(a, b, steps = 200):
 
-    Left, Right, mean, var = __get_bounds('halflogistic',steps,*args)
+    x = np.linspace(0,1,steps)
 
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'halflogistic',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
+    if a.__class__.__name__ != 'Interval':
+        a = Interval(a,a)
+    if b.__class__.__name__ != 'Interval':
+        b = Interval(b,b)
 
-def halfnorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
+    Left = np.linspace(a.left,b.left)
+    Right = np.linspace(a.right,b.right)
 
-    Left, Right, mean, var = __get_bounds('halfnorm',steps,*args)
+    mean = 0.5 * (a+b)
+    var = ((b-a)**2 )/12
 
     return Pbox(
           Left,
           Right,
           steps      = steps,
-          shape      = 'halfnorm',
+          shape      = 'uniform',
           mean_left  = mean.left,
           mean_right = mean.right,
           var_left   = var.left,
           var_right  = var.right
           )
 
-def halfgennorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('halfgennorm',steps,*args)
-
+def weibull(*args, steps = 200):
+    
+    
+    wm = weibull_max(*args)
+    wl = weibull_min(*args)
+    
     return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'halfgennorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def hypsecant(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
+        left = wl.left,
+        right = wm.right
+    )
 
-    Left, Right, mean, var = __get_bounds('hypsecant',steps,*args)
 
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'hypsecant',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
 
-def invgamma(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
+### Other distributions
+def KM(k,m,steps = 200):
+    with catch_warnings():
+        simplefilter("ignore")
+        return beta(Interval(k,k+1),Interval(m,m+1),steps = steps)
 
-    Left, Right, mean, var = __get_bounds('invgamma',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'invgamma',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def invgauss(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('invgauss',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'invgauss',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def invweibull(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('invweibull',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'invweibull',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def johnsonsb(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('johnsonsb',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'johnsonsb',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def johnsonsu(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('johnsonsu',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'johnsonsu',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def kappa4(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('kappa4',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'kappa4',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def kappa3(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('kappa3',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'kappa3',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def ksone(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('ksone',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'ksone',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def kstwobign(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('kstwobign',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'kstwobign',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def laplace(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('laplace',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'laplace',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def levy(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('levy',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'levy',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def levy_l(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('levy_l',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'levy_l',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def levy_stable(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('levy_stable',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'levy_stable',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def logistic(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('logistic',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'logistic',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def loggamma(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('loggamma',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'loggamma',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def loglaplace(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('loglaplace',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'loglaplace',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def loguniform(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('loguniform',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'loguniform',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def lomax(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('lomax',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'lomax',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def maxwell(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('maxwell',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'maxwell',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def mielke(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('mielke',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'mielke',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def moyal(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('moyal',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'moyal',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def nakagami(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('nakagami',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'nakagami',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def ncx2(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('ncx2',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'ncx2',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def ncf(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('ncf',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'ncf',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def nct(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('nct',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'nct',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def norm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('norm',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'norm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def norminvgauss(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('norminvgauss',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'norminvgauss',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def pareto(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('pareto',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'pareto',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def pearson3(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('pearson3',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'pearson3',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def powerlaw(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('powerlaw',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'powerlaw',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def powerlognorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('powerlognorm',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'powerlognorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def powernorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('powernorm',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'powernorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def rdist(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('rdist',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'rdist',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def rayleigh(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('rayleigh',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'rayleigh',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def rice(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('rice',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'rice',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def recipinvgauss(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('recipinvgauss',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'recipinvgauss',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def semicircular(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('semicircular',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'semicircular',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def skewnorm(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('skewnorm',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'skewnorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def t(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('t',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 't',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def trapz(a,b,c,d , steps = 200):
-    if a.__class__.__name__ != 'Interval':
-        a = Interval(a)
-    if b.__class__.__name__ != 'Interval':
-        b = Interval(b)
-    if c.__class__.__name__ != 'Interval':
-        c = Interval(c)
-    if d.__class__.__name__ != 'Interval':
-        d = Interval(d)
-
-    x = np.linspace(0.0001,0.9999,steps)
-    left = stats.trapz.ppf(x,*sorted([b.lo()/d.lo(),c.lo()/d.lo(),a.lo(),d.lo()-a.lo()]))
-    right = stats.trapz.ppf(x,*sorted([b.hi()/d.hi(),c.hi()/d.hi(),a.hi(),d.hi()-a.hi()]))
-
-    return Pbox(
-          left,
-          right,
-          steps      = steps,
-          shape      = 'trapz'
-          )
-
-def triang(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('triang',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'triang',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def truncexpon(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('truncexpon',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'truncexpon',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def truncnorm(left,right,mean = None,stddev = None, steps = 200):
-    
-    if left.__class__.__name__ != 'Interval':
-        left = Interval(left)
-    if right.__class__.__name__ != 'Interval':
-        right = Interval(right)
-    if mean.__class__.__name__ != 'Interval':
-        mean = Interval(mean)
-    if stddev.__class__.__name__ != 'Interval':
-        stddev = Interval(stddev)
-    
-    a,b = (left - mean)/stddev, (right - mean)/stddev
-    
-
-    Left, Right, mean, var = __get_bounds('truncnorm',steps,a,b,mean,stddev)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'truncnorm',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def tukeylambda(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('tukeylambda',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'tukeylambda',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-
-def uniform(a, b, steps = 200):
-
-    x = np.linspace(0,1,steps)
-
-    if a.__class__.__name__ != 'Interval':
-        a = Interval(a,a)
-    if b.__class__.__name__ != 'Interval':
-        b = Interval(b,b)
-
-    Left = np.linspace(a.left,b.left)
-    Right = np.linspace(a.right,b.right)
-
-    mean = 0.5 * (a+b)
-    var = ((b-a)**2 )/12
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'uniform',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def vonmises(*args, steps = Pbox.STEPS):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('vonmises',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'vonmises',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def vonmises_line(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('vonmises_line',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'vonmises_line',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def wald(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('wald',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'wald',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def weibull_min(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('weibull_min',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'weibull_min',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def weibull_max(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('weibull_max',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'weibull_max',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def weibull(*args, steps = 200):
-    
-    
-    wm = weibull_max(*args)
-    wl = weibull_min(*args)
-    
-    return Pbox(
-        left = wl.left,
-        right = wm.right
-    )
-
-def wrapcauchy(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('wrapcauchy',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'wrapcauchy',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def bernoulli(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('bernoulli',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'bernoulli',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def betabinom(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('betabinom',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'betabinom',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def binom(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('binom',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'binom',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def boltzmann(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('boltzmann',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'boltzmann',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def dlaplace(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('dlaplace',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'dlaplace',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def geom(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('geom',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'geom',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def hypergeom(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('hypergeom',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'hypergeom',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def logser(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('logser',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'logser',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def nbinom(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('nbinom',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'nbinom',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def planck(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('planck',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'planck',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def poisson(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('poisson',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'poisson',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def randint(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('randint',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'randint',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def skellam(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('skellam',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'skellam',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def zipf(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('zipf',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'zipf',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-def yulesimon(*args, steps = 200):
-    args = list(args)
-    for i in range(0,len(args)):
-        if args[i].__class__.__name__ != 'Interval':
-            args[i] = Interval(args[i])
-
-    Left, Right, mean, var = __get_bounds('yulesimon',steps,*args)
-
-    return Pbox(
-          Left,
-          Right,
-          steps      = steps,
-          shape      = 'yulesimon',
-          mean_left  = mean.left,
-          mean_right = mean.right,
-          var_left   = var.left,
-          var_right  = var.right
-          )
-
-
-### Other distributions
-def KM(k,m,steps = 200):
-    with catch_warnings():
-        simplefilter("ignore")
-        return beta(Interval(k,k+1),Interval(m,m+1),steps = steps)
-
-def KN(k,n,steps = 200):
-    return KM(k,n-k,steps=steps)
+def KN(k,n,steps = 200):
+    return KM(k,n-k,steps=steps)
 
 ### Alternate names
 normal = norm
@@ -1845,10 +287,3 @@ def KN(k,n,steps = 200):
 unif = uniform
 U = uniform
 
-
-
-# def betapert(minimum, maximum, mode):
-#     mu = (minimum + maximum + 4*mode)/6
-#     alpha1 = (mu - minimum)*(2*mode - minimum - maximum)/((mode - mu)*(maximum - minimum))
-#     alpha2 = alpha1*(maximum - mu)/(mu - minimum)
-#     return minimum + (maximum - minimum) * beta(alpha1, alpha2)
diff --git a/pba/pbox_constructors/parametric.py b/pba/pbox_constructors/parametric.py
index 42c3368..290a15b 100644
--- a/pba/pbox_constructors/parametric.py
+++ b/pba/pbox_constructors/parametric.py
@@ -1,17 +1,12 @@
 '''
 .. _pbox_constructors.sp:
+
 Automatically generated
 _______________________
 
-P-boxes based generated from scipy.stats distributions.
-
-These p-boxes are generated using the scipy.stats distributions. The p-boxes are generated by taking the minimum and maximum values of the inverse CDF of the distribution for a given set of parameters. 
-
-The p-boxes are generated using the following function
-
-.. code-block:: python
+P-boxes based on scipy.stats distributions.
 
-    
+These p-boxes are generated using the scipy.stats distributions. The p-boxes are generated by taking the minimum and maximum values of the inverse CDF of the distribution for a given set of parameters.
 '''
 
 from ..interval import *
@@ -23,6 +18,7 @@
 import sys
 from copy import deepcopy
 
+#* The commented out distributions are overwritten in dists
 dist = [
     "alpha",
     "anglit",
@@ -95,7 +91,7 @@
     "ncx2",
     "ncf",
     "nct",
-    # "norm",
+    "norm",
     "norminvgauss",
     "pareto",
     "pearson3",
diff --git a/pyproject.toml b/pyproject.toml
index cf2823a..0deca0a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "pba"
 # dynamic = ["version"]
-version = "0.16.2"
+version = "0.90"
 dependencies = [
         'numpy>=1.26.2',
         'scipy>=1.11.4',
diff --git a/setup.py b/setup.py
index f7ab176..d6332f6 100644
--- a/setup.py
+++ b/setup.py
@@ -2,7 +2,7 @@
 
 setup(
     name='pba',
-    version='0.20',
+    version='0.90',
     packages=['pba',],
     license='MIT License',
     long_description=open('README.rst').read(),
diff --git a/tests/test_core.py b/tests/test_core.py
index 42d04b6..4b21aac 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -54,7 +54,7 @@ def test_envelope():
         0.1,
         0.2
     ]
-    with pytest.raises(TypeError):
+    with pytest.raises(ValueError):
         result = envelope(*i)
     
     # Check for value error if less than 2 arguments given