Ridout, M.S. and Hinde, J.P. and Demetrio, C.G.B.
(2001)
*A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives.*
Biometrics, 57
(1).
pp. 219-223.
ISSN 0006-341X.
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Official URL http://dx.doi.org/10.1111/j.0006-341X.2001.00219.x |

## 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.

Item Type: | Article |
---|---|

Uncontrolled keywords: | Count data • Negative binomial • Poisson regression model • Score test • Zero inflation |

Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |

Divisions: | Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics |

Depositing User: | Martin S Ridout |

Date Deposited: | 29 Oct 2008 15:04 |

Last Modified: | 14 Jan 2010 14:34 |

Resource URI: | http://kar.kent.ac.uk/id/eprint/9368 (The current URI for this page, for reference purposes) |

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