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

Ridout, Martin S. and Hinde, John P. and 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. (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)

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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: 04 Jun 2014 11:10
Resource URI: https://kar.kent.ac.uk/id/eprint/9368 (The current URI for this page, for reference purposes)
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