Ridout, Martin S.,
Hinde, John P.,
Demetrio, Clarice 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.
(doi:10.1111/j.0006-341X.2001.00219.x)
(The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
(KAR id:9368)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |

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 |
---|---|

DOI/Identification number: | 10.1111/j.0006-341X.2001.00219.x |

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: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |

Depositing User: | Martin Ridout |

Date Deposited: | 29 Oct 2008 15:04 UTC |

Last Modified: | 16 Nov 2021 09:47 UTC |

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

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