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

Yang Liu, Lin Zhu, Guanfu Liu and Huapeng Li

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 20, 4919-4928

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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:49:y:2020:i:20:p:4919-4928

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DOI: 10.1080/03610926.2019.1609039

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