A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.
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.
Horticulture Research International, West Malling, Kent, UK. M.S.ridout@ukc.ac.uk
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Ridout
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Hinde
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Demétrio
D000818:Animals; D001699:Biometry; D005324:Fetal Movement; D015233:Models, Statistical; D018517:Plant Roots / Q000254:growth & development; D016012:Poisson Distribution; D012044:Regression Analysis; D012756:Sheep