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

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. (The full text of this publication is not available from this repository)

The full text of this publication is not available from this repository. (Contact us about this Publication)
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)
  • Depositors only (login required):