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

Author：

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

Indexed by：

CPCI-S

Abstract：

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.

Keyword：

Maximum Likelihood Estimator Zero-inflated Poisson Consistency and Asymptotic Normality

Author Community：

[ 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

Reprint Author's Address：

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

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Source ：

RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, VOLS I AND II

Year： 2009

Page： 732-736

Language： English

Cited Count：

WoS CC Cited Count： 0

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ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 10

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