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A Unified Parametric Regression Model for Recapture Studies with Random Removals in Continuous Time

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  • Paul S. F. Yip
  • Yan Wang

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  • Paul S. F. Yip & Yan Wang, 2002. "A Unified Parametric Regression Model for Recapture Studies with Random Removals in Continuous Time," Biometrics, The International Biometric Society, vol. 58(1), pages 192-199, March.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:1:p:192-199
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00192.x
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    References listed on IDEAS

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    1. D. Y. Lin & P. S. F. Yip, 1999. "Parametric regression models for continuous time removal and recapture studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(2), pages 401-411, April.
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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. Wen-Han Hwang & Rachel V. Blakey & Jakub Stoklosa, 2020. "Right-Censored Mixed Poisson Count Models with Detection Times," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(1), pages 112-132, March.

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