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<h1 class="cover"><span>Ahrens</span><wbr><span>Dieter</span><wbr><span>Marsaglia</span><wbr><span>Tsang</span><wbr><span>Gamma</span><wbr><span><span>Sampler</span></span></h1>
<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><span class="token keyword">class </span><a href="index.html">AhrensDieterMarsagliaTsangGammaSampler</a> : <a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-double/index.html">Double</a><span class="token operator">&gt; </span><span class="clearfix"><span class="floating-right">(<a href="https://github.com/SciProgCentre/kmath/tree/master/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt#L26">source</a>)</span></span></div><p class="paragraph">Sampling from the <a href="http://mathworld.wolfram.com/GammaDistribution.html">gamma distribution</a>.</p><ul><li><p class="paragraph">For 0 &lt; alpha &lt; 1: Ahrens, J. H. and Dieter, U., Computer methods for sampling from gamma, beta, Poisson and binomial distributions, Computing, 12, 223-246, 1974.</p></li><li><p class="paragraph">For alpha &gt;= 1: Marsaglia and Tsang, A Simple Method for Generating Gamma Variables. ACM Transactions on Mathematical Software, Volume 26 Issue 3, September, 2000.</p></li></ul><p class="paragraph">Based on Commons RNG implementation.</p><p class="paragraph">See https://commons.apache.org/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/distribution/AhrensDieterMarsagliaTsangGammaSampler.html.</p></div></div>
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