Capture-recapture when time and behavioral response affect capture probabilities

Anne Chao, Wenten Chu, Chiu Hsieh Hsu

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

We consider a capture-recapture model in which capture probabilities vary with time and with behavioral response. Two inference procedures are developed under the assumption that recapture probabilities bear a constant relationship to initial capture probabilities. These two procedures are the maximum likelihood method (both unconditional and conditional types are discussed) and an approach based on optimal estimating functions. The population size estimators derived from the two procedures are shown to be asymptotically equivalent when population size is large enough. The performance and relative merits of various population size estimators for finite cases are discussed. The bootstrap method is suggested for constructing a variance estimator and confidence interval. An example of the deer mouse analyzed in Otis et al. (1978, Wildlife Monographs 62, 93) is given for illustration.

Original languageEnglish (US)
Pages (from-to)427-433
Number of pages7
JournalBiometrics
Volume56
Issue number2
DOIs
StatePublished - Jun 2000
Externally publishedYes

Keywords

  • Bootstrap
  • Capture-recapture
  • Maximum likelihood
  • Maximum quasi- likelihood
  • Optimal estimating equation
  • Population size

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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