A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives

Biometrics - Tập 57 Số 1 - Trang 219-223 - 2001
M. S. Ridout1, John Hinde2, Clarice Garcia Borges Demétrio3
1Horticulture Research International, East Malling, West Malling, Kent ME19 6BJ, U.K.
2School of Mathematical Sciences, Laver Building, University of Exeter, North Park Road, Exeter EX4 4QE, U.K.
3DME/ESALQ, University of SãTo Paulo, 13418‐900 Piracicaba, SP, Brazil

Tóm tắt

Summary. 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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