摘要
三变量复合化Poisson分布已由梁文骥讨论,所用的方法是把通常的三变量Poisson分布P(τλ)与随机化参数τ进行复合.证明了许多分布,如Poisson分布本身、负二项分布、Hermite分布、NeymanA型分布以及Poisson逆高斯分布,都可以从这个分布中得出.这种分布是Poisson分布的一种一般化。本文把这种关系推广到了多变量情形.
The compounded Poisson distribution in trivariate has been discussed by Liang Wenji.The method of introduction is compounding usual trivariate Poisson distribution P(τλ) with a randomized parameter τ.The author claimed that many distributions such as Poisson distribution itself,negative binonial distribution,Hermite distribution,Neyman Type A distribution and Poisson Inverse-Gaussian distribution are derived from the distribution.The distribution is a kind of generalized Poisson.The purpose of this paper is to generalize these relations to multivariate case.
出处
《北京师范大学学报(自然科学版)》
CAS
CSCD
1995年第1期26-28,共3页
Journal of Beijing Normal University(Natural Science)
基金
国家自然科学基金
关键词
复合化
渐化式
概率
随机变量
泊松分布
compounded
Poisson distribution
recurrence relation
probability generating function
moment generating function