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A generalised likelihood framework for partially observed capture-recapture-recovery models
Item metadata
dc.contributor.author | King, Ruth | |
dc.contributor.author | McCrea, R S | |
dc.date.accessioned | 2013-07-25T12:01:01Z | |
dc.date.available | 2013-07-25T12:01:01Z | |
dc.date.issued | 2014 | |
dc.identifier | 460927 | |
dc.identifier | edf3618a-ab20-4590-bd0e-b3d076caf518 | |
dc.identifier | 84881512995 | |
dc.identifier | 000329416300004 | |
dc.identifier.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 | en |
dc.identifier.issn | 1572-3127 | |
dc.identifier.other | standrews_research_output: 31580 | |
dc.identifier.uri | https://hdl.handle.net/10023/3877 | |
dc.description.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. | |
dc.format.extent | 456221 | |
dc.language.iso | eng | |
dc.relation.ispartof | Statistical Methodology | en |
dc.subject | Capture-recapture-recovery data | en |
dc.subject | Closed form likelihood | en |
dc.subject | Multi-state | en |
dc.subject | Partially observed states | en |
dc.subject | Sufficient statistics | en |
dc.subject | QA Mathematics | en |
dc.subject.lcc | QA | en |
dc.title | A generalised likelihood framework for partially observed capture-recapture-recovery models | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.identifier.doi | 10.1016/j.stamet.2013.07.004 | |
dc.description.status | Peer reviewed | en |
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