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    National Tsing Hua University Institutional Repository > 理學院 > 統計學研究所 > 期刊論文 >  Modeling animals' behavioral response by Markov chain models for capture-recapture experiments

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/54105

    Title: Modeling animals' behavioral response by Markov chain models for capture-recapture experiments
    Authors: Yang HC;Chao A
    教師: 趙蓮菊
    Date: 2005
    Publisher: Wiley-Blackwell
    Relation: BIOMETRICS,Volume: 61,Issue: 4,Pages: 1010-1017,Published: DEC 2005
    Keywords: POPULATION
    Abstract: A bivariate Markov chain approach that includes both enduring (long-term) and ephemeral (short-term) behavioral effects in models for capture-recapture experiments is proposed. The capture history of each animal is modeled as a Markov chain with a bivariate state space with states determined by the capture status (capture/noncapture) and marking status (marked/unmarked). In this framework, a conditional-likelihood method is used to estimate the population size and the transition probabilities. The classical behavioral model that assumes only an enduring behavioral effect is included as a special case of the bivariate Markovian model. Another special case that assumes only an ephemeral behavioral effect reduces to a univariate Markov chain based on capture/noncapture status. The model with the ephemeral behavioral effect is extended to incorporate time effects; in this model, in contrast to extensions of the classical behavioral model, all parameters are identifiable. A data set is analyzed to illustrate the use of the Markovian models in interpreting animals' behavioral response. Simulation results are reported to examine the performance of the estimators.
    URI: http://as.wiley.com/WileyCDA/Brand/id-35.html
    Appears in Collections:[統計學研究所] 期刊論文

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