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
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
收藏
页码:219 / 223
页数:5
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