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@@ -140,22 +140,22 @@ Namespaces</h2></td></tr>
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a id="func-members" name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:a82964ca6180507deb5fafc71050012ba"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/d72/geometric__dist_8cpp.html#a82964ca6180507deb5fafc71050012ba">probability::geometric_dist::generate_uniform</a> ()</td></tr>
<tr class="memdesc:a82964ca6180507deb5fafc71050012ba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a random number between [0,1]. <a href="../../de/d72/geometric__dist_8cpp.html#a82964ca6180507deb5fafc71050012ba">More...</a><br /></td></tr>
<tr class="memdesc:a82964ca6180507deb5fafc71050012ba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a random number between [0,1]. <br /></td></tr>
<tr class="separator:a82964ca6180507deb5fafc71050012ba"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a70fd1cc5c3a2813f28683dc75dcd65b6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/d72/geometric__dist_8cpp.html#a70fd1cc5c3a2813f28683dc75dcd65b6">sample_test</a> (const <a class="el" href="../../da/d19/classprobability_1_1geometric__dist_1_1geometric__distribution.html">probability::geometric_dist::geometric_distribution</a> &amp;dist)</td></tr>
<tr class="memdesc:a70fd1cc5c3a2813f28683dc75dcd65b6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tests the sampling method of the geometric distribution. <a href="../../de/d72/geometric__dist_8cpp.html#a70fd1cc5c3a2813f28683dc75dcd65b6">More...</a><br /></td></tr>
<tr class="memdesc:a70fd1cc5c3a2813f28683dc75dcd65b6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Tests the sampling method of the geometric distribution. <br /></td></tr>
<tr class="separator:a70fd1cc5c3a2813f28683dc75dcd65b6"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa8dca7b867074164d5f45b0f3851269d"><td class="memItemLeft" align="right" valign="top">static void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/d72/geometric__dist_8cpp.html#aa8dca7b867074164d5f45b0f3851269d">test</a> ()</td></tr>
<tr class="memdesc:aa8dca7b867074164d5f45b0f3851269d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Self-test implementations. <a href="../../de/d72/geometric__dist_8cpp.html#aa8dca7b867074164d5f45b0f3851269d">More...</a><br /></td></tr>
<tr class="memdesc:aa8dca7b867074164d5f45b0f3851269d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Self-test implementations. <br /></td></tr>
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<tr class="memitem:ae66f6b31b5ad750f1fe042a706a4e3d4"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/d72/geometric__dist_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a> ()</td></tr>
<tr class="memdesc:ae66f6b31b5ad750f1fe042a706a4e3d4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Main function. <a href="../../de/d72/geometric__dist_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">More...</a><br /></td></tr>
<tr class="memdesc:ae66f6b31b5ad750f1fe042a706a4e3d4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Main function. <br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><p ><a href="https://en.wikipedia.org/wiki/Geometric_distribution" target="_blank">Geometric Distribution</a> </p>
<p >The geometric distribution models the experiment of doing Bernoulli trials until a sucess was observed. There are two formulations of the geometric distribution: 1) The probability distribution of the number X of Bernoulli trials needed to get one success, supported on the set { 1, 2, 3, ... } 2) The probability distribution of the number Y = X − 1 of failures before the first success, supported on the set { 0, 1, 2, 3, ... } Here, the first one is implemented.</p>
<p >Common variables used: p - The success probability k - The number of tries</p>
<div class="textblock"><p><a href="https://en.wikipedia.org/wiki/Geometric_distribution" target="_blank">Geometric Distribution</a> </p>
<p>The geometric distribution models the experiment of doing Bernoulli trials until a sucess was observed. There are two formulations of the geometric distribution: 1) The probability distribution of the number X of Bernoulli trials needed to get one success, supported on the set { 1, 2, 3, ... } 2) The probability distribution of the number Y = X − 1 of failures before the first success, supported on the set { 0, 1, 2, 3, ... } Here, the first one is implemented.</p>
<p>Common variables used: p - The success probability k - The number of tries</p>
<dl class="section author"><dt>Author</dt><dd><a href="https://github.com/DerAndereDomenic" target="_blank">Domenic Zingsheim</a> </dd></dl>
</div><h2 class="groupheader">Function Documentation</h2>
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<p>Tests the sampling method of the geometric distribution. </p>
<p >Draws 1000000 random samples and estimates mean and variance These should be close to the expected value and variance of the given distribution to pass. </p><dl class="params"><dt>Parameters</dt><dd>
<p>Draws 1000000 random samples and estimates mean and variance These should be close to the expected value and variance of the given distribution to pass. </p><dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramname">dist</td><td>The distribution to test </td></tr>
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