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A Semiparametric Model for Recapture Experiments

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  • Yan Wang
  • Paul S. F. Yip

Abstract

. A two‐step procedure based on the conditional likelihood is proposed to estimate the population size of a closed population using a semiparametric model for recapture studies. An asymptotic variance estimate and numerical results are presented. The method is applied to a bird banding dataset in Hong Kong.

Suggested Citation

  • Yan Wang & Paul S. F. Yip, 2003. "A Semiparametric Model for Recapture Experiments," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(4), pages 667-676, December.
    • Handle: RePEc:bla:scjsta:v:30:y:2003:i:4:p:667-676
    DOI: 10.1111/1467-9469.00357
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    Cited by:

    1. Yang Liu & Yukun Liu & Pengfei Li & Lin Zhu, 2021. "Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random," Biometrics, The International Biometric Society, vol. 77(3), pages 1050-1060, September.
    2. Thandrayen, Joanne & Wang, Yan, 2009. "A latent variable regression model for capture-recapture data," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2740-2746, May.

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