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<div class="header">
<p class="class"><strong>Type</strong> Gamma</p>
<p><strong>Namespace</strong> MathNet.Numerics.Distributions</p>
<p><strong>Interfaces</strong> <a href="../MathNet.Numerics.Distributions/IContinuousDistribution.htm">IContinuousDistribution</a></p>
</div>
<div class="sub-header">
<div id="summary">Continuous Univariate Gamma distribution.
For details about this distribution, see. <blockquote class="remarks">
The Gamma distribution is parametrized by a shape and inverse scale parameter. When we want
to specify a Gamma distribution which is a point distribution we set the shape parameter to be the
location of the point distribution and the inverse scale as positive infinity. The distribution
with shape and inverse scale both zero is undefined.
Random number generation for the Gamma distribution is based on the algorithm in:
"A Simple Method for Generating Gamma Variables" - Marsaglia & Tsang
ACM Transactions on Mathematical Software, Vol. 26, No. 3, September 2000, Pages 363–372.
</blockquote>
</div>
<h3 class="section">Constructors</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#.ctor">Gamma</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#.ctor">Gamma</a></li>
</ul>
<h3 class="section">Static Functions</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#CDF">CDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#InvCDF">InvCDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#IsValidParameterSet">IsValidParameterSet</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#PDF">PDF</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#PDFLn">PDFLn</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Sample">Sample</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Sample">Sample</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#WithShapeRate">WithShapeRate</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#WithShapeScale">WithShapeScale</a></li>
</ul>
<h3 class="section">Methods</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#CumulativeDistribution">CumulativeDistribution</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Density">Density</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#DensityLn">DensityLn</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Equals">Equals</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#GetHashCode">GetHashCode</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#GetType">GetType</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#InverseCumulativeDistribution">InverseCumulativeDistribution</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Sample">Sample</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Samples">Samples</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#ToString">ToString</a></li>
</ul>
<h3 class="section">Properties</h3>
<ul>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Entropy">Entropy</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Maximum">Maximum</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Mean">Mean</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Median">Median</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Minimum">Minimum</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Mode">Mode</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#RandomSource">RandomSource</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Rate">Rate</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Scale">Scale</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Shape">Shape</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Skewness">Skewness</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#StdDev">StdDev</a></li>
<li><a href="../MathNet.Numerics.Distributions/Gamma.htm#Variance">Variance</a></li>
</ul>
</div>
<h3 class="section">Public Constructors</h3>
<div id=".ctor" class="method">
<h4> <strong>Gamma</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.Random">Random</span> randomSource)</h4>
<div class="content">Initializes a new instance of the Gamma class.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.Random">Random</span></code> randomSource</h6>
<p class="comments">The random number generator which is used to draw random samples. </p>
</div>
</div>
</div>
<div id=".ctor" class="method">
<h4> <strong>Gamma</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Initializes a new instance of the Gamma class.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
</div>
</div>
<h3 class="section">Public Static Functions</h3>
<div id="CDF" class="method">
<h4><span title="System.double">double</span> <strong>CDF</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.double">double</span> x)</h4>
<div class="content">Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the cumulative distribution function. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the cumulative distribution at location <var>x</var>. </p>
</div>
</div>
</div>
<div id="InvCDF" class="method">
<h4><span title="System.double">double</span> <strong>InvCDF</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.double">double</span> p)</h4>
<div class="content">Computes the inverse of the cumulative distribution function (InvCDF) for the distribution
at the given probability. This is also known as the quantile or percent point function.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> p</h6>
<p class="comments">The location at which to compute the inverse cumulative density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the inverse cumulative density at <var>p</var>. </p>
</div>
</div>
</div>
<div id="IsValidParameterSet" class="method">
<h4><span title="System.bool">bool</span> <strong>IsValidParameterSet</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Tests whether the provided values are valid parameters for this distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
</div>
</div>
<div id="PDF" class="method">
<h4><span title="System.double">double</span> <strong>PDF</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.double">double</span> x)</h4>
<div class="content">Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the density at <var>x</var>. </p>
</div>
</div>
</div>
<div id="PDFLn" class="method">
<h4><span title="System.double">double</span> <strong>PDFLn</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.double">double</span> x)</h4>
<div class="content">Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x).
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the log density at <var>x</var>. </p>
</div>
</div>
</div>
<div id="Sample" class="method">
<h4><span title="System.double">double</span> <strong>Sample</strong>(<span title="System.Random">Random</span> rnd, <span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Generates a sample from the Gamma distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Random">Random</span></code> rnd</h6>
<p class="comments">The random number generator to use. </p>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>a sample from the distribution. </p>
</div>
</div>
</div>
<div id="Sample" class="method">
<h4><span title="System.double">double</span> <strong>Sample</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Generates a sample from the Gamma distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>a sample from the distribution. </p>
</div>
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span> <strong>Samples</strong>(<span title="System.Random">Random</span> rnd, <span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Generates a sequence of samples from the Gamma distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Random">Random</span></code> rnd</h6>
<p class="comments">The random number generator to use. </p>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span></code></h6>
<p>a sequence of samples from the distribution. </p>
</div>
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.void">void</span> <strong>Samples</strong>(<span title="System.Random">Random</span> rnd, <span title="System.Double[]">Double[]</span> values, <span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Fills an array with samples generated from the distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Random">Random</span></code> rnd</h6>
<p class="comments">The random number generator to use. </p>
<h6><code><span title="System.Double[]">Double[]</span></code> values</h6>
<p class="comments">The array to fill with the samples. </p>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.void">void</span></code></h6>
<p>a sequence of samples from the distribution. </p>
</div>
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span> <strong>Samples</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Generates a sequence of samples from the Gamma distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span></code></h6>
<p>a sequence of samples from the distribution. </p>
</div>
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.void">void</span> <strong>Samples</strong>(<span title="System.Double[]">Double[]</span> values, <span title="System.double">double</span> shape, <span title="System.double">double</span> rate)</h4>
<div class="content">Fills an array with samples generated from the distribution.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.Double[]">Double[]</span></code> values</h6>
<p class="comments">The array to fill with the samples. </p>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.void">void</span></code></h6>
<p>a sequence of samples from the distribution. </p>
</div>
</div>
</div>
<div id="WithShapeRate" class="method">
<h4><a href="../MathNet.Numerics.Distributions/Gamma.htm">Gamma</a> <strong>WithShapeRate</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> rate, <span title="System.Random">Random</span> randomSource)</h4>
<div class="content">Constructs a Gamma distribution from a shape and inverse scale parameter. The distribution will
be initialized with the default random number generator.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k, α) of the Gamma distribution. Range: α ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> rate</h6>
<p class="comments">The rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0. </p>
<h6><code><span title="System.Random">Random</span></code> randomSource</h6>
<p class="comments">The random number generator which is used to draw random samples. Optional, can be null. </p>
</div>
</div>
</div>
<div id="WithShapeScale" class="method">
<h4><a href="../MathNet.Numerics.Distributions/Gamma.htm">Gamma</a> <strong>WithShapeScale</strong>(<span title="System.double">double</span> shape, <span title="System.double">double</span> scale, <span title="System.Random">Random</span> randomSource)</h4>
<div class="content">Constructs a Gamma distribution from a shape and scale parameter. The distribution will
be initialized with the default random number generator.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> shape</h6>
<p class="comments">The shape (k) of the Gamma distribution. Range: k ≥ 0. </p>
<h6><code><span title="System.double">double</span></code> scale</h6>
<p class="comments">The scale (θ) of the Gamma distribution. Range: θ ≥ 0 </p>
<h6><code><span title="System.Random">Random</span></code> randomSource</h6>
<p class="comments">The random number generator which is used to draw random samples. Optional, can be null. </p>
</div>
</div>
</div>
<h3 class="section">Public Methods</h3>
<div id="CumulativeDistribution" class="method">
<h4><span title="System.double">double</span> <strong>CumulativeDistribution</strong>(<span title="System.double">double</span> x)</h4>
<div class="content">Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x).
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the cumulative distribution function. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the cumulative distribution at location <var>x</var>. </p>
</div>
</div>
</div>
<div id="Density" class="method">
<h4><span title="System.double">double</span> <strong>Density</strong>(<span title="System.double">double</span> x)</h4>
<div class="content">Computes the probability density of the distribution (PDF) at x, i.e. ∂P(X ≤ x)/∂x.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the density at <var>x</var>. </p>
</div>
</div>
</div>
<div id="DensityLn" class="method">
<h4><span title="System.double">double</span> <strong>DensityLn</strong>(<span title="System.double">double</span> x)</h4>
<div class="content">Computes the log probability density of the distribution (lnPDF) at x, i.e. ln(∂P(X ≤ x)/∂x).
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> x</h6>
<p class="comments">The location at which to compute the log density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the log density at <var>x</var>. </p>
</div>
</div>
</div>
<div id="Equals" class="method">
<h4><span title="System.bool">bool</span> <strong>Equals</strong>(<span title="System.object">object</span> obj)</h4>
<div class="content">
</div>
</div>
<div id="GetHashCode" class="method">
<h4><span title="System.int">int</span> <strong>GetHashCode</strong>()</h4>
<div class="content">
</div>
</div>
<div id="GetType" class="method">
<h4><span title="System.Type">Type</span> <strong>GetType</strong>()</h4>
<div class="content">
</div>
</div>
<div id="InverseCumulativeDistribution" class="method">
<h4><span title="System.double">double</span> <strong>InverseCumulativeDistribution</strong>(<span title="System.double">double</span> p)</h4>
<div class="content">Computes the inverse of the cumulative distribution function (InvCDF) for the distribution
at the given probability. This is also known as the quantile or percent point function.
<div class="parameters">
<h5>Parameters</h5>
<h6><code><span title="System.double">double</span></code> p</h6>
<p class="comments">The location at which to compute the inverse cumulative density. </p>
</div>
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>the inverse cumulative density at <var>p</var>. </p>
</div>
</div>
</div>
<div id="Sample" class="method">
<h4><span title="System.double">double</span> <strong>Sample</strong>()</h4>
<div class="content">Generates a sample from the Gamma distribution.
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.double">double</span></code></h6>
<p>a sample from the distribution. </p>
</div>
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.void">void</span> <strong>Samples</strong>(<span title="System.Double[]">Double[]</span> values)</h4>
<div class="content">Fills an array with samples generated from the distribution.
</div>
</div>
<div id="Samples" class="method">
<h4><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span> <strong>Samples</strong>()</h4>
<div class="content">Generates a sequence of samples from the Gamma distribution.
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.Collections.Generic.IEnumerable<double>">IEnumerable&lt;double&gt;</span></code></h6>
<p>a sequence of samples from the distribution. </p>
</div>
</div>
</div>
<div id="ToString" class="method">
<h4><span title="System.string">string</span> <strong>ToString</strong>()</h4>
<div class="content">A string representation of the distribution.
<div class="return">
<h5>Return</h5>
<h6><code><span title="System.string">string</span></code></h6>
<p>a string representation of the distribution. </p>
</div>
</div>
</div>
<h3 class="section">Public Properties</h3>
<div id="Entropy" class="method">
<h4><span title="System.double">double</span> <strong>Entropy</strong> get; </h4>
<div class="content">Gets the entropy of the Gamma distribution.
</div>
</div>
<div id="Maximum" class="method">
<h4><span title="System.double">double</span> <strong>Maximum</strong> get; </h4>
<div class="content">Gets the maximum of the Gamma distribution.
</div>
</div>
<div id="Mean" class="method">
<h4><span title="System.double">double</span> <strong>Mean</strong> get; </h4>
<div class="content">Gets the mean of the Gamma distribution.
</div>
</div>
<div id="Median" class="method">
<h4><span title="System.double">double</span> <strong>Median</strong> get; </h4>
<div class="content">Gets the median of the Gamma distribution.
</div>
</div>
<div id="Minimum" class="method">
<h4><span title="System.double">double</span> <strong>Minimum</strong> get; </h4>
<div class="content">Gets the minimum of the Gamma distribution.
</div>
</div>
<div id="Mode" class="method">
<h4><span title="System.double">double</span> <strong>Mode</strong> get; </h4>
<div class="content">Gets the mode of the Gamma distribution.
</div>
</div>
<div id="RandomSource" class="method">
<h4><span title="System.Random">Random</span> <strong>RandomSource</strong> get; set;</h4>
<div class="content">Gets or sets the random number generator which is used to draw random samples.
</div>
</div>
<div id="Rate" class="method">
<h4><span title="System.double">double</span> <strong>Rate</strong> get; </h4>
<div class="content">Gets or sets the rate or inverse scale (β) of the Gamma distribution. Range: β ≥ 0.
</div>
</div>
<div id="Scale" class="method">
<h4><span title="System.double">double</span> <strong>Scale</strong> get; </h4>
<div class="content">Gets or sets the scale (θ) of the Gamma distribution.
</div>
</div>
<div id="Shape" class="method">
<h4><span title="System.double">double</span> <strong>Shape</strong> get; </h4>
<div class="content">Gets or sets the shape (k, α) of the Gamma distribution. Range: α ≥ 0.
</div>
</div>
<div id="Skewness" class="method">
<h4><span title="System.double">double</span> <strong>Skewness</strong> get; </h4>
<div class="content">Gets the skewness of the Gamma distribution.
</div>
</div>
<div id="StdDev" class="method">
<h4><span title="System.double">double</span> <strong>StdDev</strong> get; </h4>
<div class="content">Gets the standard deviation of the Gamma distribution.
</div>
</div>
<div id="Variance" class="method">
<h4><span title="System.double">double</span> <strong>Variance</strong> get; </h4>
<div class="content">Gets the variance of the Gamma distribution.
</div>
</div>
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