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

King, Ruth, 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: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) (KAR id:37119)

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/10.1016/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
DOI/Identification number:	10.1016/j.stamet.2013.07.004
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:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User:	Rachel McCrea
Date Deposited:	02 Dec 2013 15:48 UTC
Last Modified:	05 Nov 2024 10:21 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/37119 (The current URI for this page, for reference purposes)

University of Kent Author Information

McCrea, Rachel S..

Creator's ORCID:	https://orcid.org/0000-0002-3813-5328
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