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An empirical model for underdispersed count data

Ridout, Martin S., Besbeas, Panagiotis (2004) An empirical model for underdispersed count data. Statistical Modelling, 4 (1). pp. 77-89. ISSN 1471-082X. (doi:10.1191/1471082X04st064oa) (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:6753)

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/10.1191/1471082X04st064oa

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
DOI/Identification number: 10.1191/1471082X04st064oa
Uncontrolled keywords: clutch size • exponential weighting • linnet • Poisson process • polyspermy • weighted Poisson distribution
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Judith Broom
Date Deposited: 10 Sep 2008 14:49 UTC
Last Modified: 16 Nov 2021 09:45 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/6753 (The current URI for this page, for reference purposes)

University of Kent Author Information

Ridout, Martin S..

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CReDIT Contributor Roles:

Besbeas, Panagiotis.

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