A new mixture model for capture heterogeneity

Morgan, Byron J. T. and Ridout, Martin S. (2008) A new mixture model for capture heterogeneity. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57 (4). pp. 433-446. ISSN 0035-9254. (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)

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. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1111/j.1467-9876.2008.00620.x

Abstract

We propose a mixture of binomial and beta-binomial distributions for estimating the size of closed populations. The new mixture model is applied to several real capture-recapture data sets and is shown to provide a convenient, objective framework for model selection. The new model is compared with three alternative models in a simulation study, and the results shed light on the general performance of models in this area. The new model provides a robust flexible analysis, which automatically deals with small capture probabilities.

Item Type: Article
Uncontrolled keywords: beta-binomial; capture-recapture; logistic-normal-binomial; mixture of binomials; population size estimation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QL Zoology
Divisions: Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Byron Morgan
Date Deposited: 07 Mar 2009 12:06
Last Modified: 02 Jun 2014 11:29
Resource URI: https://kar.kent.ac.uk/id/eprint/12914 (The current URI for this page, for reference purposes)
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