A generalised likelihood framework for partially observed capture–recapture–recovery models

King, Ruth and McCrea, Rachel S. (2014) A generalised likelihood framework for partially observed capture–recapture–recovery models. Statistical Methodology, 17 . pp. 30-45. ISSN 1572-3127. (doi:https://doi.org/10.1016/j.stamet.2013.07.004) (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)

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Official URL
http://dx.doi.org/10.1016/j.stamet.2013.07.004

Abstract

We provide a closed form likelihood expression for multi-state capture–recapture–recovery data when the state of an individual may be only partially observed. The corresponding sufficient statistics are presented in addition to a matrix formulation which facilitates an efficient calculation of the likelihood. This likelihood framework provides a consistent and unified framework with many standard models applied to capture–recapture–recovery data as special cases.

Item Type: Article
Uncontrolled keywords: Capture–recapture–recovery data; Closed form likelihood; Multi-state; Partially observed states; Sufficient statistics
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Rachel McCrea
Date Deposited: 02 Dec 2013 15:48 UTC
Last Modified: 30 May 2014 13:42 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37119 (The current URI for this page, for reference purposes)
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