MultiPoissonDistribution[μ0,μ]
represents a multivariate Poisson distribution with mean vector μ0+μ.
MultiPoissonDistribution
MultiPoissonDistribution[μ0,μ]
represents a multivariate Poisson distribution with mean vector μ0+μ.
更多信息和选项
- To use MultiPoissonDistribution, you first need to load the Multivariate Statistics Package using Needs["MultivariateStatistics`"].
- The multivariate Poisson distribution MultiPoissonDistribution[μ0,μ] with μ={μ1,μ2,…} is the distribution followed by a Poisson with mean μ0 summed with a vector of independent Poissons with means μ1, μ2, ….
- The parameter μ0 and the elements of the vector μ can be any positive numbers.
- MultiPoissonDistribution can be used with such functions as Mean, PDF, and RandomInteger.
范例
打开所有单元 关闭所有单元基本范例 (3)
文本
Wolfram Research (2007),MultiPoissonDistribution,Wolfram 语言函数,https://reference.wolfram.com/language/MultivariateStatistics/ref/MultiPoissonDistribution.html.
CMS
Wolfram 语言. 2007. "MultiPoissonDistribution." Wolfram 语言与系统参考资料中心. Wolfram Research. https://reference.wolfram.com/language/MultivariateStatistics/ref/MultiPoissonDistribution.html.
APA
Wolfram 语言. (2007). MultiPoissonDistribution. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/MultivariateStatistics/ref/MultiPoissonDistribution.html 年
BibTeX
@misc{reference.wolfram_2025_multipoissondistribution, author="Wolfram Research", title="{MultiPoissonDistribution}", year="2007", howpublished="\url{https://reference.wolfram.com/language/MultivariateStatistics/ref/MultiPoissonDistribution.html}", note=[Accessed: 02-May-2026]}
BibLaTeX
@online{reference.wolfram_2025_multipoissondistribution, organization={Wolfram Research}, title={MultiPoissonDistribution}, year={2007}, url={https://reference.wolfram.com/language/MultivariateStatistics/ref/MultiPoissonDistribution.html}, note=[Accessed: 02-May-2026]}