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→计算泊松分布
* Microsoft Excel：function <code>POISSON( x, mean, cumulative)</code>,带有一个标志来指定累积分布；
* Microsoft Excel：function <code>POISSON( x, mean, cumulative)</code>,带有一个标志来指定累积分布；
* Mathematica：单变量泊松分布为<code>PoissonDistribution[ λ ]</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> ，二元泊松分布为<code>MultivariatePoissonDistribution[θ_{12},{ θ_1 - θ_{12},θ_2 - θ_{12}}]</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：单变量泊松分布为<code>PoissonDistribution[ λ ]</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> ，二元泊松分布为<code>MultivariatePoissonDistribution[θ_<sub>{12}</sub>,{ θ_<sub>1</sub> - θ_<sub>{12}</sub>,θ_<sub>2</sub> - θ_<sub>{12}</sub>}]</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>
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