A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives

被引：272

作者：

Ridout, M

Hinde, J

Demétrio, CGB

机构：

[1] Hort Res Int, W Malling ME19 6BJ, Kent, England

[2] Univ Exeter, Sch Math Sci, Exeter EX4 4QE, Devon, England

[3] Univ Sao Paulo, DME ESALQ, BR-13418900 Piracicaba, SP, Brazil

来源：

BIOMETRICS | 2001年 / 57卷 / 01期

关键词：

count data; negative binomial; Poisson regression model; score test; zero inflation;

D O I：

10.1111/j.0006-341X.2001.00219.x

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero-inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution. We therefore provide a score test for testing zero-inflated Poisson regression models against zero-inflated negative binomial alternatives.

引用

页码：219 / 223

页数：5

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