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A score test for testing a zero-inflated Poisson regression model against zero-inflated negative binomial alternatives

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)

University of Kent Author Information

Ridout, Martin S..

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