Consistency and Asymptotic Normality of the Maximum Likelihood Estimator in a Zero-inflated Poisson Mixture Distributions

被引：0
|
作者：
Yang Aijun [1 ]
Yang Zhenhai [1 ]
机构：
[1] Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
来源：
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II | 2009年
关键词：
Zero-inflated Poisson; Maximum Likelihood Estimator; Consistency and Asymptotic Normality;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Zero-inflated Poisson (ZIP) regression is a model for count data with excess zeros. It assumes that with probability p the only possible observation is 0, and with probability 1-p, a Poisson (X) random variable is observed. In this paper, we use conditional distribution to investigate consistency and asymptotic properties of the maximum likelihood estimates (MLEs) in ZIP regression model.
引用
收藏
页码：732 / 736
页数：5
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