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第1,988行： − + + − − The less trivial task is to draw random integers from the Poisson distribution with given <math>\lambda</math>. − − The less trivial task is to draw random integers from the Poisson distribution with given <math>\lambda</math>. − − 更简单的任务是用给定的 < math > lambda </math > 从泊松分布中提取随机整数。 − − − − Solutions are provided by: − − Solutions are provided by: − + − − * [[GNU Scientific Library]] (GSL): function [https://www.gnu.org/software/gsl/doc/html/randist.html#the-poisson-distribution gsl_ran_poisson] + +
→Random drawing from the Poisson distribution 从泊松分布中抽取随机量
* [[Mathematica]]: univariate Poisson distribution as <code>PoissonDistribution[<math>\lambda</math>]</code>,<ref name="WLPoissonRefPage">{{cite web |url = http://reference.wolfram.com/language/ref/PoissonDistribution.html |title = Wolfram Language: PoissonDistribution reference page |website = wolfram.com |access-date = 2016-04-08 }}</ref> bivariate Poisson distribution as <code>MultivariatePoissonDistribution[<math>\theta_{12}</math>,{ <math>\theta_1 - \theta_{12}</math>, <math>\theta_2 - \theta_{12}</math>}]</code>,.<ref name="WLMvPoissonRefPage">{{cite web |url = http://reference.wolfram.com/language/ref/MultivariatePoissonDistribution.html |title = Wolfram Language: MultivariatePoissonDistribution reference page |website = wolfram.com |access-date = 2016-04-08 }}</ref>
* [[Mathematica]]: univariate Poisson distribution as <code>PoissonDistribution[<math>\lambda</math>]</code>,<ref name="WLPoissonRefPage">{{cite web |url = http://reference.wolfram.com/language/ref/PoissonDistribution.html |title = Wolfram Language: PoissonDistribution reference page |website = wolfram.com |access-date = 2016-04-08 }}</ref> bivariate Poisson distribution as <code>MultivariatePoissonDistribution[<math>\theta_{12}</math>,{ <math>\theta_1 - \theta_{12}</math>, <math>\theta_2 - \theta_{12}</math>}]</code>,.<ref name="WLMvPoissonRefPage">{{cite web |url = http://reference.wolfram.com/language/ref/MultivariatePoissonDistribution.html |title = Wolfram Language: MultivariatePoissonDistribution reference page |website = wolfram.com |access-date = 2016-04-08 }}</ref>
=== Random drawing from the Poisson distribution 从泊松分布中抽取随机量===
===从泊松分布中抽取随机量===
更简单的任务是用给定的<math>\lambda</math>从泊松分布中提取随机整数。
提供解决方案的有:
提供解决方案的有:
* [[R (programming language)|R]]: function <code>rpois(n, lambda)</code>;
* R语言: 函数<code>rpois(n, lambda)</code>;
* GSL函数库: 函数 [https://www.gnu.org/software/gsl/doc/html/randist.html#the-poisson-distribution gsl_ran_poisson]
<br》
===生成泊松分布随机变量===
===生成泊松分布随机变量===