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An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus

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  • S. J. Bonner
  • C. J. Schwarz

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  • S. J. Bonner & C. J. Schwarz, 2006. "An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus," Biometrics, The International Biometric Society, vol. 62(1), pages 142-149, March.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:1:p:142-149
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2005.00399.x
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    References listed on IDEAS

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    1. Kenneth Pollock, 2002. "The use of auxiliary variables in capture-recapture modelling: An overview," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(1-4), pages 85-102.
    2. Joseph G. Ibrahim & Ming-Hui Chen & Stuart R. Lipsitz, 1999. "Monte Carlo EM for Missing Covariates in Parametric Regression Models," Biometrics, The International Biometric Society, vol. 55(2), pages 591-596, June.
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    Cited by:

    1. Matthew R. Schofield & Richard J. Barker & Peter Taylor, 2013. "Modeling Individual Specific Fish Length from Capture–Recapture Data using the von Bertalanffy Growth Curve," Biometrics, The International Biometric Society, vol. 69(4), pages 1012-1021, December.
    2. Simon J. Bonner & Byron J. T. Morgan & Ruth King, 2010. "Continuous Covariates in Mark-Recapture-Recovery Analysis: A Comparison of Methods," Biometrics, The International Biometric Society, vol. 66(4), pages 1256-1265, December.
    3. Riki Herliansyah & Ruth King & Stuart King, 2022. "Laplace Approximations for Capture–Recapture Models in the Presence of Individual Heterogeneity," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(3), pages 401-418, September.
    4. R. King & S. P. Brooks & T. Coulson, 2008. "Analyzing Complex Capture–Recapture Data in the Presence of Individual and Temporal Covariates and Model Uncertainty," Biometrics, The International Biometric Society, vol. 64(4), pages 1187-1195, December.
    5. Jakub Stoklosa & Wen-Han Hwang & Sheng-Hai Wu & Richard Huggins, 2011. "Heterogeneous Capture–Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations," Biometrics, The International Biometric Society, vol. 67(4), pages 1659-1665, December.
    6. Simon J. Bonner & Wei Zhang & Jiaqi Mu, 2024. "On the identifiability of the trinomial model for mark‐recapture‐recovery studies," Environmetrics, John Wiley & Sons, Ltd., vol. 35(1), February.
    7. Stoklosa, Jakub & Dann, Peter & Huggins, Richard M. & Hwang, Wen-Han, 2016. "Estimation of survival and capture probabilities in open population capture–recapture models when covariates are subject to measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 74-86.
    8. Dalton J. Hance & Russell W. Perry & John M. Plumb & Adam C. Pope, 2020. "A temporally stratified extension of space‐for‐time Cormack–Jolly–Seber for migratory animals," Biometrics, The International Biometric Society, vol. 76(3), pages 900-912, September.
    9. J. Andrew Royle, 2008. "Modeling Individual Effects in the Cormack–Jolly–Seber Model: A State–Space Formulation," Biometrics, The International Biometric Society, vol. 64(2), pages 364-370, June.

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