A generalised likelihood framework for partially observed capture-recapture-recovery models
Abstract
We provide a closed form likelihood expression for multi-state mark-recapture-recovery data when the state of an individual may be only partially observed. The corresponding su cient statistics are presented in addition to a matrix formulation which facilitates an e cient calculation of the likelihood. This likelihood framework provides a consistent and uni ed framework with many standard models applied to mark-recapture-recovery data as special cases.
Citation
King , R & McCrea , R S 2014 , ' A generalised likelihood framework for partially observed capture-recapture-recovery models ' , Statistical Methodology , vol. 17 , pp. 30-45 . https://doi.org/10.1016/j.stamet.2013.07.004
Publication
Statistical Methodology
Status
Peer reviewed
ISSN
1572-3127Type
Journal article
Rights
Copyright © 2013 Elsevier B.V. This is the author's version of an article that was accepted for publication in Statistical Methodology. Changes resulting from the publishing process may not be reflected in this document. The published version is available from www.sciencedirect.com
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