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<div class="subTitle">org.apache.commons.math3.distribution</div>
<h2 title="Class GammaDistribution" class="title">Class GammaDistribution</h2>
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<li><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">org.apache.commons.math3.distribution.AbstractRealDistribution</a></li>
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<li>org.apache.commons.math3.distribution.GammaDistribution</li>
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<pre>public class <span class="strong">GammaDistribution</span>
extends <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></pre>
<div class="block">Implementation of the Gamma distribution.</div>
<dl><dt><span class="strong">Version:</span></dt>
<dd>$Id: GammaDistribution.java 1534362 2013-10-21 20:23:54Z tn $</dd>
<dt><span class="strong">See Also:</span></dt><dd><a href="http://en.wikipedia.org/wiki/Gamma_distribution">Gamma distribution (Wikipedia)</a>,
<a href="http://mathworld.wolfram.com/GammaDistribution.html">Gamma distribution (MathWorld)</a>,
<a href="../../../../../serialized-form.html#org.apache.commons.math3.distribution.GammaDistribution">Serialized Form</a></dd></dl>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Field and Description</th>
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<td class="colFirst"><code>static double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#DEFAULT_INVERSE_ABSOLUTE_ACCURACY">DEFAULT_INVERSE_ABSOLUTE_ACCURACY</a></strong></code>
<div class="block">Default inverse cumulative probability accuracy.</div>
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<h3>Fields inherited from class&nbsp;org.apache.commons.math3.distribution.<a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></h3>
<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#random">random</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#randomData">randomData</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#SOLVER_DEFAULT_ABSOLUTE_ACCURACY">SOLVER_DEFAULT_ABSOLUTE_ACCURACY</a></code></li>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#GammaDistribution(double, double)">GammaDistribution</a></strong>(double&nbsp;shape,
double&nbsp;scale)</code>
<div class="block">Creates a new gamma distribution with specified values of the shape and
scale parameters.</div>
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<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#GammaDistribution(double, double, double)">GammaDistribution</a></strong>(double&nbsp;shape,
double&nbsp;scale,
double&nbsp;inverseCumAccuracy)</code>
<div class="block">Creates a new gamma distribution with specified values of the shape and
scale parameters.</div>
</td>
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<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#GammaDistribution(org.apache.commons.math3.random.RandomGenerator, double, double)">GammaDistribution</a></strong>(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;shape,
double&nbsp;scale)</code>
<div class="block">Creates a Gamma distribution.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#GammaDistribution(org.apache.commons.math3.random.RandomGenerator, double, double, double)">GammaDistribution</a></strong>(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;shape,
double&nbsp;scale,
double&nbsp;inverseCumAccuracy)</code>
<div class="block">Creates a Gamma distribution.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#cumulativeProbability(double)">cumulativeProbability</a></strong>(double&nbsp;x)</code>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(X &lt;= x)</code>.</div>
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<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#density(double)">density</a></strong>(double&nbsp;x)</code>
<div class="block">Returns the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getAlpha()">getAlpha</a></strong>()</code>
<div class="block"><strong>Deprecated.</strong>&nbsp;
<div class="block"><i>as of version 3.1, <a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getShape()"><code>getShape()</code></a> should be preferred.
This method will be removed in version 4.0.</i></div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getBeta()">getBeta</a></strong>()</code>
<div class="block"><strong>Deprecated.</strong>&nbsp;
<div class="block"><i>as of version 3.1, <a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getScale()"><code>getScale()</code></a> should be preferred.
This method will be removed in version 4.0.</i></div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getNumericalMean()">getNumericalMean</a></strong>()</code>
<div class="block">Use this method to get the numerical value of the mean of this
distribution.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getNumericalVariance()">getNumericalVariance</a></strong>()</code>
<div class="block">Use this method to get the numerical value of the variance of this
distribution.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getScale()">getScale</a></strong>()</code>
<div class="block">Returns the scale parameter of <code>this</code> distribution.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getShape()">getShape</a></strong>()</code>
<div class="block">Returns the shape parameter of <code>this</code> distribution.</div>
</td>
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<td class="colFirst"><code>protected double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getSolverAbsoluteAccuracy()">getSolverAbsoluteAccuracy</a></strong>()</code>
<div class="block">Returns the solver absolute accuracy for inverse cumulative computation.</div>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getSupportLowerBound()">getSupportLowerBound</a></strong>()</code>
<div class="block">Access the lower bound of the support.</div>
</td>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getSupportUpperBound()">getSupportUpperBound</a></strong>()</code>
<div class="block">Access the upper bound of the support.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#isSupportConnected()">isSupportConnected</a></strong>()</code>
<div class="block">Use this method to get information about whether the support is connected,
i.e.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#isSupportLowerBoundInclusive()">isSupportLowerBoundInclusive</a></strong>()</code>
<div class="block">Whether or not the lower bound of support is in the domain of the density
function.</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#isSupportUpperBoundInclusive()">isSupportUpperBoundInclusive</a></strong>()</code>
<div class="block">Whether or not the upper bound of support is in the domain of the density
function.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#logDensity(double)">logDensity</a></strong>(double&nbsp;x)</code>
<div class="block">Returns the natural logarithm of the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>.</div>
</td>
</tr>
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<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#sample()">sample</a></strong>()</code>
<div class="block">This implementation uses the following algorithms:</div>
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<h3>Methods inherited from class&nbsp;org.apache.commons.math3.distribution.<a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></h3>
<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#cumulativeProbability(double, double)">cumulativeProbability</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#inverseCumulativeProbability(double)">inverseCumulativeProbability</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#probability(double)">probability</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#probability(double, double)">probability</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#reseedRandomGenerator(long)">reseedRandomGenerator</a>, <a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#sample(int)">sample</a></code></li>
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<h4>DEFAULT_INVERSE_ABSOLUTE_ACCURACY</h4>
<pre>public static final&nbsp;double DEFAULT_INVERSE_ABSOLUTE_ACCURACY</pre>
<div class="block">Default inverse cumulative probability accuracy.</div>
<dl><dt><span class="strong">Since:</span></dt>
<dd>2.1</dd>
<dt><span class="strong">See Also:</span></dt><dd><a href="../../../../../constant-values.html#org.apache.commons.math3.distribution.GammaDistribution.DEFAULT_INVERSE_ABSOLUTE_ACCURACY">Constant Field Values</a></dd></dl>
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<h4>GammaDistribution</h4>
<pre>public&nbsp;GammaDistribution(double&nbsp;shape,
double&nbsp;scale)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a new gamma distribution with specified values of the shape and
scale parameters.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>shape</code> - the shape parameter</dd><dd><code>scale</code> - the scale parameter</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>shape &lt;= 0</code> or
<code>scale &lt;= 0</code>.</dd></dl>
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<pre>public&nbsp;GammaDistribution(double&nbsp;shape,
double&nbsp;scale,
double&nbsp;inverseCumAccuracy)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a new gamma distribution with specified values of the shape and
scale parameters.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>shape</code> - the shape parameter</dd><dd><code>scale</code> - the scale parameter</dd><dd><code>inverseCumAccuracy</code> - the maximum absolute error in inverse
cumulative probability estimates (defaults to
<a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#DEFAULT_INVERSE_ABSOLUTE_ACCURACY"><code>DEFAULT_INVERSE_ABSOLUTE_ACCURACY</code></a>).</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>shape &lt;= 0</code> or
<code>scale &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>2.1</dd></dl>
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<pre>public&nbsp;GammaDistribution(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;shape,
double&nbsp;scale)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a Gamma distribution.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rng</code> - Random number generator.</dd><dd><code>shape</code> - the shape parameter</dd><dd><code>scale</code> - the scale parameter</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>shape &lt;= 0</code> or
<code>scale &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>3.3</dd></dl>
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<pre>public&nbsp;GammaDistribution(<a href="../../../../../org/apache/commons/math3/random/RandomGenerator.html" title="interface in org.apache.commons.math3.random">RandomGenerator</a>&nbsp;rng,
double&nbsp;shape,
double&nbsp;scale,
double&nbsp;inverseCumAccuracy)
throws <a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></pre>
<div class="block">Creates a Gamma distribution.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>rng</code> - Random number generator.</dd><dd><code>shape</code> - the shape parameter</dd><dd><code>scale</code> - the scale parameter</dd><dd><code>inverseCumAccuracy</code> - the maximum absolute error in inverse
cumulative probability estimates (defaults to
<a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#DEFAULT_INVERSE_ABSOLUTE_ACCURACY"><code>DEFAULT_INVERSE_ABSOLUTE_ACCURACY</code></a>).</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/exception/NotStrictlyPositiveException.html" title="class in org.apache.commons.math3.exception">NotStrictlyPositiveException</a></code> - if <code>shape &lt;= 0</code> or
<code>scale &lt;= 0</code>.</dd><dt><span class="strong">Since:</span></dt>
<dd>3.1</dd></dl>
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<h4>getAlpha</h4>
<pre><a href="http://docs.oracle.com/javase/6/docs/api/java/lang/Deprecated.html?is-external=true" title="class or interface in java.lang">@Deprecated</a>
public&nbsp;double&nbsp;getAlpha()</pre>
<div class="block"><span class="strong">Deprecated.</span>&nbsp;<i>as of version 3.1, <a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getShape()"><code>getShape()</code></a> should be preferred.
This method will be removed in version 4.0.</i></div>
<div class="block">Returns the shape parameter of <code>this</code> distribution.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the shape parameter</dd></dl>
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<pre>public&nbsp;double&nbsp;getShape()</pre>
<div class="block">Returns the shape parameter of <code>this</code> distribution.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the shape parameter</dd><dt><span class="strong">Since:</span></dt>
<dd>3.1</dd></dl>
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<h4>getBeta</h4>
<pre><a href="http://docs.oracle.com/javase/6/docs/api/java/lang/Deprecated.html?is-external=true" title="class or interface in java.lang">@Deprecated</a>
public&nbsp;double&nbsp;getBeta()</pre>
<div class="block"><span class="strong">Deprecated.</span>&nbsp;<i>as of version 3.1, <a href="../../../../../org/apache/commons/math3/distribution/GammaDistribution.html#getScale()"><code>getScale()</code></a> should be preferred.
This method will be removed in version 4.0.</i></div>
<div class="block">Returns the scale parameter of <code>this</code> distribution.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the scale parameter</dd></dl>
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<pre>public&nbsp;double&nbsp;getScale()</pre>
<div class="block">Returns the scale parameter of <code>this</code> distribution.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the scale parameter</dd><dt><span class="strong">Since:</span></dt>
<dd>3.1</dd></dl>
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<pre>public&nbsp;double&nbsp;density(double&nbsp;x)</pre>
<div class="block">Returns the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>. In general, the PDF is
the derivative of the <a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double)"><code>CDF</code></a>.
If the derivative does not exist at <code>x</code>, then an appropriate
replacement should be returned, e.g. <code>Double.POSITIVE_INFINITY</code>,
<code>Double.NaN</code>, or the limit inferior or limit superior of the
difference quotient.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the PDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the value of the probability density function at point <code>x</code></dd></dl>
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<pre>public&nbsp;double&nbsp;logDensity(double&nbsp;x)</pre>
<div class="block">Returns the natural logarithm of the probability density function (PDF) of this distribution
evaluated at the specified point <code>x</code>. In general, the PDF is the derivative of the
<a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#cumulativeProbability(double)"><code>CDF</code></a>. If the derivative does not exist at <code>x</code>,
then an appropriate replacement should be returned, e.g. <code>Double.POSITIVE_INFINITY</code>,
<code>Double.NaN</code>, or the limit inferior or limit superior of the difference quotient. Note
that due to the floating point precision and under/overflow issues, this method will for some
distributions be more precise and faster than computing the logarithm of
<a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#density(double)"><code>RealDistribution.density(double)</code></a>. The default implementation simply computes the logarithm of
<code>density(x)</code>.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#logDensity(double)">logDensity</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the PDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the logarithm of the value of the probability density function at point <code>x</code></dd></dl>
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<pre>public&nbsp;double&nbsp;cumulativeProbability(double&nbsp;x)</pre>
<div class="block">For a random variable <code>X</code> whose values are distributed according
to this distribution, this method returns <code>P(X &lt;= x)</code>. In other
words, this method represents the (cumulative) distribution function
(CDF) for this distribution.
The implementation of this method is based on:
<ul>
<li>
<a href="http://mathworld.wolfram.com/Chi-SquaredDistribution.html">
Chi-Squared Distribution</a>, equation (9).
</li>
<li>Casella, G., & Berger, R. (1990). <i>Statistical Inference</i>.
Belmont, CA: Duxbury Press.
</li>
</ul></div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>x</code> - the point at which the CDF is evaluated</dd>
<dt><span class="strong">Returns:</span></dt><dd>the probability that a random variable with this
distribution takes a value less than or equal to <code>x</code></dd></dl>
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<pre>protected&nbsp;double&nbsp;getSolverAbsoluteAccuracy()</pre>
<div class="block">Returns the solver absolute accuracy for inverse cumulative computation.
You can override this method in order to use a Brent solver with an
absolute accuracy different from the default.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#getSolverAbsoluteAccuracy()">getSolverAbsoluteAccuracy</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>the maximum absolute error in inverse cumulative probability estimates</dd></dl>
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<pre>public&nbsp;double&nbsp;getNumericalMean()</pre>
<div class="block">Use this method to get the numerical value of the mean of this
distribution.
For shape parameter <code>alpha</code> and scale parameter <code>beta</code>, the
mean is <code>alpha * beta</code>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the mean or <code>Double.NaN</code> if it is not defined</dd></dl>
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<pre>public&nbsp;double&nbsp;getNumericalVariance()</pre>
<div class="block">Use this method to get the numerical value of the variance of this
distribution.
For shape parameter <code>alpha</code> and scale parameter <code>beta</code>, the
variance is <code>alpha * beta^2</code>.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the variance (possibly <code>Double.POSITIVE_INFINITY</code> as
for certain cases in <a href="../../../../../org/apache/commons/math3/distribution/TDistribution.html" title="class in org.apache.commons.math3.distribution"><code>TDistribution</code></a>) or <code>Double.NaN</code> if it
is not defined</dd></dl>
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<pre>public&nbsp;double&nbsp;getSupportLowerBound()</pre>
<div class="block">Access the lower bound of the support. This method must return the same
value as <code>inverseCumulativeProbability(0)</code>. In other words, this
method must return
<p><code>inf {x in R | P(X <= x) > 0}</code>.</p>
The lower bound of the support is always 0 no matter the parameters.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>lower bound of the support (always 0)</dd></dl>
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<pre>public&nbsp;double&nbsp;getSupportUpperBound()</pre>
<div class="block">Access the upper bound of the support. This method must return the same
value as <code>inverseCumulativeProbability(1)</code>. In other words, this
method must return
<p><code>inf {x in R | P(X <= x) = 1}</code>.</p>
The upper bound of the support is always positive infinity
no matter the parameters.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>upper bound of the support (always Double.POSITIVE_INFINITY)</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportLowerBoundInclusive()</pre>
<div class="block">Whether or not the lower bound of support is in the domain of the density
function. Returns true iff <code>getSupporLowerBound()</code> is finite and
<code>density(getSupportLowerBound())</code> returns a non-NaN, non-infinite
value.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>true if the lower bound of support is finite and the density
function returns a non-NaN, non-infinite value there</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportUpperBoundInclusive()</pre>
<div class="block">Whether or not the upper bound of support is in the domain of the density
function. Returns true iff <code>getSupportUpperBound()</code> is finite and
<code>density(getSupportUpperBound())</code> returns a non-NaN, non-infinite
value.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>true if the upper bound of support is finite and the density
function returns a non-NaN, non-infinite value there</dd></dl>
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<pre>public&nbsp;boolean&nbsp;isSupportConnected()</pre>
<div class="block">Use this method to get information about whether the support is connected,
i.e. whether all values between the lower and upper bound of the support
are included in the support.
The support of this distribution is connected.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd><code>true</code></dd></dl>
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<h4>sample</h4>
<pre>public&nbsp;double&nbsp;sample()</pre>
<div class="block"><p>This implementation uses the following algorithms: </p>
<p>For 0 < shape < 1: <br/>
Ahrens, J. H. and Dieter, U., <i>Computer methods for
sampling from gamma, beta, Poisson and binomial distributions.</i>
Computing, 12, 223-246, 1974.</p>
<p>For shape >= 1: <br/>
Marsaglia and Tsang, <i>A Simple Method for Generating
Gamma Variables.</i> ACM Transactions on Mathematical Software,
Volume 26 Issue 3, September, 2000.</p></div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html#sample()">sample</a></code>&nbsp;in interface&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/RealDistribution.html" title="interface in org.apache.commons.math3.distribution">RealDistribution</a></code></dd>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html#sample()">sample</a></code>&nbsp;in class&nbsp;<code><a href="../../../../../org/apache/commons/math3/distribution/AbstractRealDistribution.html" title="class in org.apache.commons.math3.distribution">AbstractRealDistribution</a></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>random value sampled from the Gamma(shape, scale) distribution</dd></dl>
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