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</div> |
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</div> |
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<div class="header"> |
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<p class="class"><strong>Type</strong> BetaBinomial</p> |
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<p><strong>Namespace</strong> MathNet.Numerics.Distributions</p> |
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<p><strong>Interfaces</strong> <a href="../MathNet.Numerics.Distributions/IDiscreteDistribution.htm">IDiscreteDistribution</a></p> |
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</div> |
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<div class="sub-header"> |
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<div id="summary">Discrete Univariate Beta-Binomial distribution. |
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The beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negative integers arising |
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when the probability of success in each of a fixed or known number of Bernoulli trials is either unknown or random. |
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The beta-binomial distribution is the binomial distribution in which the probability of success at each of n trials is not fixed but randomly drawn from a beta distribution. |
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It is frequently used in Bayesian statistics, empirical Bayes methods and classical statistics to capture overdispersion in binomial type distributed data.. |
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</div> |
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<h3 class="section">Constructors</h3> |
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<ul> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#.ctor">BetaBinomial</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#.ctor">BetaBinomial</a></li> |
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</ul> |
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<h3 class="section">Static Functions</h3> |
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<ul> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#CDF">CDF</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#IsValidParameterSet">IsValidParameterSet</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#IsValidParameterSet">IsValidParameterSet</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#PMF">PMF</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#PMFLn">PMFLn</a></li> |
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</ul> |
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<h3 class="section">Methods</h3> |
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<ul> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#CumulativeDistribution">CumulativeDistribution</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Equals">Equals</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#GetHashCode">GetHashCode</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#GetType">GetType</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Probability">Probability</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#ProbabilityLn">ProbabilityLn</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Sample">Sample</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Sample">Sample</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Samples">Samples</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Samples">Samples</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Samples">Samples</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Samples">Samples</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Samples">Samples</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#ToString">ToString</a></li> |
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</ul> |
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<h3 class="section">Properties</h3> |
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<ul> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#A">A</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#B">B</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Maximum">Maximum</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Mean">Mean</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Minimum">Minimum</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#N">N</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#RandomSource">RandomSource</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Skewness">Skewness</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#StdDev">StdDev</a></li> |
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<li><a href="../MathNet.Numerics.Distributions/BetaBinomial.htm#Variance">Variance</a></li> |
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</ul> |
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</div> |
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<h3 class="section">Public Constructors</h3> |
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<div id=".ctor" class="method"> |
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<h4> <strong>BetaBinomial</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.Random">Random</span> randomSource)</h4> |
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<div class="content">Initializes a new instance of the <a href="../MathNet.Numerics.Distributions/BetaBinomial.htm">BetaBinomial</a> class. |
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<div class="parameters"> |
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<h5>Parameters</h5> |
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<h6><code><span title="System.int">int</span></code> n</h6> |
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<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
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<h6><code><span title="System.double">double</span></code> a</h6> |
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<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
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<h6><code><span title="System.double">double</span></code> b</h6> |
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<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
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<h6><code><span title="System.Random">Random</span></code> randomSource</h6> |
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<p class="comments">The random number generator which is used to draw random samples. </p> |
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</div> |
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</div> |
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</div> |
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<div id=".ctor" class="method"> |
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<h4> <strong>BetaBinomial</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4> |
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<div class="content">Initializes a new instance of the <a href="../MathNet.Numerics.Distributions/BetaBinomial.htm">BetaBinomial</a> class. |
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<div class="parameters"> |
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<h5>Parameters</h5> |
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<h6><code><span title="System.int">int</span></code> n</h6> |
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<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
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<h6><code><span title="System.double">double</span></code> a</h6> |
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<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
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<h6><code><span title="System.double">double</span></code> b</h6> |
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<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
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</div> |
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</div> |
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</div> |
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<h3 class="section">Public Static Functions</h3> |
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<div id="CDF" class="method"> |
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<h4><span title="System.double">double</span> <strong>CDF</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.int">int</span> x)</h4> |
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<div class="content">Computes the cumulative distribution (CDF) of the distribution at x, i.e. P(X ≤ x). |
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<div class="parameters"> |
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<h5>Parameters</h5> |
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<h6><code><span title="System.int">int</span></code> n</h6> |
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<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
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<h6><code><span title="System.double">double</span></code> a</h6> |
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<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
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<h6><code><span title="System.double">double</span></code> b</h6> |
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<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
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<h6><code><span title="System.int">int</span></code> x</h6> |
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<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="IsValidParameterSet" class="method"> |
|||
<h4><span title="System.bool">bool</span> <strong>IsValidParameterSet</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</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.int">int</span></code> n</h6> |
|||
<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
|||
</div> |
|||
|
|||
|
|||
</div> |
|||
</div> |
|||
<div id="IsValidParameterSet" class="method"> |
|||
<h4><span title="System.bool">bool</span> <strong>IsValidParameterSet</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.int">int</span> k)</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.int">int</span></code> n</h6> |
|||
<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
|||
<h6><code><span title="System.int">int</span></code> k</h6> |
|||
<p class="comments">The location in the domain where we want to evaluate the probability mass function. </p> |
|||
</div> |
|||
|
|||
|
|||
</div> |
|||
</div> |
|||
<div id="PMF" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>PMF</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.int">int</span> k)</h4> |
|||
<div class="content">Computes the probability mass (PMF) at k, i.e. P(X = k). |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.int">int</span></code> n</h6> |
|||
<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
|||
<h6><code><span title="System.int">int</span></code> k</h6> |
|||
<p class="comments">The location in the domain where we want to evaluate the probability mass function. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.double">double</span></code></h6> |
|||
<p>the probability mass at location <var>k</var>. </p> |
|||
</div> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="PMFLn" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>PMFLn</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b, <span title="System.int">int</span> k)</h4> |
|||
<div class="content">Computes the log probability mass (lnPMF) at k, i.e. ln(P(X = k)). |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.int">int</span></code> n</h6> |
|||
<p class="comments">The number of Bernoulli trials n - n is a positive integer </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">Shape parameter alpha of the Beta distribution. Range: a > 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">Shape parameter beta of the Beta distribution. Range: b > 0. </p> |
|||
<h6><code><span title="System.int">int</span></code> k</h6> |
|||
<p class="comments">The location in the domain where we want to evaluate the probability mass function. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.double">double</span></code></h6> |
|||
<p>the log probability mass at location <var>k</var>. </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="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="Probability" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>Probability</strong>(<span title="System.int">int</span> k)</h4> |
|||
<div class="content">Computes the probability mass (PMF) at k, i.e. P(X = k). |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.int">int</span></code> k</h6> |
|||
<p class="comments">The location in the domain where we want to evaluate the probability mass function. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.double">double</span></code></h6> |
|||
<p>the probability mass at location <var>k</var>. </p> |
|||
</div> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="ProbabilityLn" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>ProbabilityLn</strong>(<span title="System.int">int</span> k)</h4> |
|||
<div class="content">Computes the log probability mass (lnPMF) at k, i.e. ln(P(X = k)). |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.int">int</span></code> k</h6> |
|||
<p class="comments">The location in the domain where we want to evaluate the log probability mass function. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.double">double</span></code></h6> |
|||
<p>the log probability mass at location <var>k</var>. </p> |
|||
</div> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="Sample" class="method"> |
|||
<h4><span title="System.int">int</span> <strong>Sample</strong>()</h4> |
|||
<div class="content">Samples a <code>BetaBinomial</code> distributed random variable. |
|||
|
|||
|
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.int">int</span></code></h6> |
|||
<p>a sample from the distribution. </p> |
|||
</div> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="Sample" class="method"> |
|||
<h4><span title="System.int">int</span> <strong>Sample</strong>(<span title="System.Random">Random</span> rnd, <span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4> |
|||
<div class="content">Samples a <code>BetaBinomial</code> distributed random variable. |
|||
|
|||
|
|||
<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.int">int</span></code> n</h6> |
|||
<p class="comments">The number of trials (n). Range: n ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">The α shape parameter of the Beta distribution. Range: α ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">The β shape parameter of the Beta distribution. Range: β ≥ 0. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.int">int</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.Int32[]">Int32[]</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<int>">IEnumerable<int></span> <strong>Samples</strong>(<span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4> |
|||
<div class="content">Samples an array of <code>BetaBinomial</code> distributed random variables. |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.int">int</span></code> n</h6> |
|||
<p class="comments">The number of trials (n). Range: n ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">The α shape parameter of the Beta distribution. Range: α ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">The β shape parameter of the Beta distribution. Range: β ≥ 0. </p> |
|||
</div> |
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.Collections.Generic.IEnumerable<int>">IEnumerable<int></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.Int32[]">Int32[]</span> values, <span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</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.Int32[]">Int32[]</span></code> values</h6> |
|||
<p class="comments">The array to fill with the samples. </p> |
|||
<h6><code><span title="System.int">int</span></code> n</h6> |
|||
<p class="comments">The number of trials (n). Range: n ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">The α shape parameter of the Beta distribution. Range: α ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">The β shape parameter of the Beta distribution. Range: β ≥ 0. </p> |
|||
</div> |
|||
|
|||
|
|||
</div> |
|||
</div> |
|||
<div id="Samples" class="method"> |
|||
<h4><span title="System.Collections.Generic.IEnumerable<int>">IEnumerable<int></span> <strong>Samples</strong>()</h4> |
|||
<div class="content">Samples an array of <code>BetaBinomial</code> distributed random variables. |
|||
|
|||
|
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.Collections.Generic.IEnumerable<int>">IEnumerable<int></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.Int32[]">Int32[]</span> values, <span title="System.int">int</span> n, <span title="System.double">double</span> a, <span title="System.double">double</span> b)</h4> |
|||
<div class="content">Fills an array with samples generated from the distribution. |
|||
|
|||
|
|||
<div class="parameters"> |
|||
<h5>Parameters</h5> |
|||
|
|||
<h6><code><span title="System.Int32[]">Int32[]</span></code> values</h6> |
|||
<p class="comments">The array to fill with the samples. </p> |
|||
<h6><code><span title="System.int">int</span></code> n</h6> |
|||
<p class="comments">The number of trials (n). Range: n ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> a</h6> |
|||
<p class="comments">The α shape parameter of the Beta distribution. Range: α ≥ 0. </p> |
|||
<h6><code><span title="System.double">double</span></code> b</h6> |
|||
<p class="comments">The β shape parameter of the Beta distribution. Range: β ≥ 0. </p> |
|||
</div> |
|||
|
|||
|
|||
</div> |
|||
</div> |
|||
<div id="ToString" class="method"> |
|||
<h4><span title="System.string">string</span> <strong>ToString</strong>()</h4> |
|||
<div class="content">Returns a <span title="System.String">String</span> that represents this instance. |
|||
|
|||
|
|||
|
|||
<div class="return"> |
|||
<h5>Return</h5> |
|||
<h6><code><span title="System.string">string</span></code></h6> |
|||
<p>A <a href="../System/String.htm">String</a> that represents this instance. </p> |
|||
</div> |
|||
|
|||
</div> |
|||
</div> |
|||
|
|||
<h3 class="section">Public Properties</h3> |
|||
|
|||
<div id="A" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>A</strong> get; </h4> |
|||
<div class="content"> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="B" class="method"> |
|||
<h4><span title="System.double">double</span> <strong>B</strong> get; </h4> |
|||
<div class="content"> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="Maximum" class="method"> |
|||
<h4><span title="System.int">int</span> <strong>Maximum</strong> get; </h4> |
|||
<div class="content">Gets the largest element in the domain of the distributions which can be represented by an integer. |
|||
|
|||
</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 distribution. |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="Minimum" class="method"> |
|||
<h4><span title="System.int">int</span> <strong>Minimum</strong> get; </h4> |
|||
<div class="content">Gets the smallest element in the domain of the distributions which can be represented by an integer. |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="N" class="method"> |
|||
<h4><span title="System.int">int</span> <strong>N</strong> get; </h4> |
|||
<div class="content"> |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="RandomSource" class="method"> |
|||
<h4><span title="System.Random">Random</span> <strong>RandomSource</strong> get; set;</h4> |
|||
<div class="content"> |
|||
|
|||
</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 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 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 distribution. |
|||
|
|||
</div> |
|||
</div> |
|||
<div id="footer"> |
|||
<p>Based on v4.12.0.0 of MathNet.Numerics (Math.NET Numerics)</p> |
|||
<p>Generated by <a href="http://docu.jagregory.com">docu</a></p> |
|||
</div> |
|||
</body> |
|||
</html> |
|||
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