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Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies

Author

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  • Yang Liu
  • Lin Zhu
  • Guanfu Liu
  • Huapeng Li

Abstract

In continuous-time capture-recapture experiments, individual heterogeneity has a large effect on the capture probability. To account for the heterogeneity, we consider an individual covariate, which is categorical and subject to missing. In this article, we develop a general model to summarize three kinds of missing mechanisms, and propose a maximum likelihood estimator of the abundance. A likelihood ratio confidence interval of the abundance is also proposed. We illustrate the proposed methods by simulation studies and a real data example of a bird species prinia subflava in Hong Kong.

Suggested Citation

  • Yang Liu & Lin Zhu & Guanfu Liu & Huapeng Li, 2020. "Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(20), pages 4919-4928, October.
    • Handle: RePEc:taf:lstaxx:v:49:y:2020:i:20:p:4919-4928
    DOI: 10.1080/03610926.2019.1609039
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