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added poisson description to user guide. 

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141501 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Brent Worden 2004-11-09 02:26:55 +00:00
parent 2b1de18a2d
commit 81b1571ad3
2 changed files with 21 additions and 3 deletions
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20
xdocs/userguide/distribution.xml
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@ -17,7 +17,7 @@
-->
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
<!-- $Revision: 1.1 $ $Date: 2004/04/26 20:06:50 $ -->
<!-- $Revision: 1.2 $ $Date: 2004/11/09 02:26:55 $ -->
<document url="stat.html">
<properties>
<title>The Commons Math User Guide - Statistics</title>
@ -60,6 +60,7 @@ BinomialDistribution binomial = factory.createBinomialDistribution(10, .75);</so
<tr><td>Gamma</td><td>createGammaDistribution</td><td><div>Alpha</div><div>Beta</div></td></tr>
<tr><td>Hypergeometric</td><td>createHypogeometricDistribution</td><td><div>Population size</div><div>Number of successes in population</div><div>Sample size</div></td></tr>
<tr><td>Normal (Gaussian)</td><td>createNormalDistribution</td><td><div>Mean</div><div>Standard Deviation</div></td></tr>
<tr><td>Poisson</td><td>createPoissonDistribution</td><td><div>Mean</div></td></tr>
<tr><td>t</td><td>createTDistribution</td><td><div>Degrees of freedom</div></td></tr>
</table>
</p>
@ -89,6 +90,23 @@ double upperTail = 1.0 - t.cumulativeProbability(2.75); // P(T &gt;= 2.75)</sour
less-than or equal to the given probability.
</p>
</subsection>
<subsection name="8.3 User Defined Distributions" href="userdefined">
<p>
Since there are numerous distributions and Commons-Math only directly supports a handfull,
it may be necessary to extend the distribution framework to satisfy individual needs. It
is recommended that the <code>Distribution</code>, <code>ContinuousDistribution</code>,
<code>DiscreteDistribution</code>, and <code>IntegerDistribution</code> interfaces serve as
base types for any extension. These serve as the basis for all the distributions directly
supported by Commons-Math and using those interfaces for implementation purposes will
insure any extension is compatible with the remainder of Commons-Math. To aid in
implementing a distribution extension, the <code>AbstractDistribution</code>,
<code>AbstractContinuousDistribution</code>, and <code>AbstractIntegerDistribution</code>
provide implementation building blocks and offer a lot of default distribution
functionality. By extending these abstract classes directly, a good portion of the
repetative distribution implementation is already developed and should same time and effort
in developing user defined distributions.
</p>
</subsection>
</section>
</body>
</document>

4
xdocs/userguide/index.xml
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@ -17,7 +17,7 @@
-->
<?xml-stylesheet type="text/xsl" href="./xdoc.xsl"?>
<!-- $Revision: 1.12 $ $Date: 2004/10/08 05:08:21 $ -->
<!-- $Revision: 1.13 $ $Date: 2004/11/09 02:26:55 $ -->
<document url="index.html">
<properties>
<title>The Commons Math User Guide - Table of Contents</title>
@ -43,7 +43,6 @@
<li><a href="stat.html#frequency">1.3 Frequency distributions</a></li>
<li><a href="stat.html#regression">1.4 Simple regression</a></li>
<li><a href="stat.html#tests">1.5 Statistical tests</a></li>
<li><a href="stat.html#distributions">1.6 Distribution framework</a></li>
</ul></li>
<li><a href="random.html">2. Data Generation</a>
<ul>
@ -91,6 +90,7 @@
<ul>
<li><a href="distribution.html#overview">8.1 Overview</a></li>
<li><a href="distribution.html#distributions">8.2 Distribution Framework</a></li>
<li><a href="distribution.html#userdefined">8.3 User Defined Distributions</a></li>
</ul></li>
</ul>
</section>