An empirical model for underdispersed count data

Ridout, M.S. and Besbeas, P. (2004) An empirical model for underdispersed count data. Statistical Modelling , 4 (1). pp. 77-89. ISSN 1471-082X . (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1191/1471082X04st064oa

Abstract

We present a novel distribution for modelling count data that are underdispersed relative to the Poisson distribution. The distribution is a form of weighted Poisson distribution and is shown to have advantages over other weighted Poisson distributions that have been proposed to model underdispersion. One key difference is that the weights in our distribution are centred on the mean of the underlying Poisson distribution. Several illustrative examples are presented that illustrate the consistently good performance of the distribution.

Item Type: Article
Uncontrolled keywords: clutch size • exponential weighting • linnet • Poisson process • polyspermy • weighted Poisson distribution
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Judith Broom
Date Deposited: 10 Sep 2008 14:49
Last Modified: 14 Jan 2010 14:25
Resource URI: http://kar.kent.ac.uk/id/eprint/6753 (The current URI for this page, for reference purposes)
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