A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives |
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Authors: | Ridout M Hinde J Demétrio C G |
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Affiliation: | Horticulture Research International, West Malling, Kent, UK. M.S.ridout@ukc.ac.uk |
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Abstract: | 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. |
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Keywords: | Count data Negative binomial Poisson regression model Score test Zero inflation |
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