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

作者：

Yang Aijun (Yang Aijun.) | Yang Zhenhai (Yang Zhenhai.)

收录：

CPCI-S

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.

关键词：

Maximum Likelihood Estimator Zero-inflated Poisson Consistency and Asymptotic Normality

作者机构：

[ 1 ] [Yang Aijun]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
[ 2 ] [Yang Zhenhai]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

通讯作者信息：

[Yang Aijun]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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