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 |
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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: | 05 Nov 2024 09:42 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/9368 (The current URI for this page, for reference purposes) |
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