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

Ruth King, R S McCrea

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)30-45
Number of pages16
JournalStatistical Methodology
Volume17
Early online date19 Jul 2013
DOIs
Publication statusPublished - 2014

Keywords

  • Capture-recapture-recovery data
  • Closed form likelihood
  • Multi-state
  • Partially observed states
  • Sufficient statistics
  • QA Mathematics

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