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References

  • Alho, J. M. 1990. Adjusting for nonresponse bias using logistic regression. Biometrika 77:617624.
  • Amstrup, S. C., T. L. McDonald, and B. F. J., Manly. (eds) 2005. Handbook of capture-recapture analysis. Princeton University Press, Princeton, NJ.
  • Basu, S., and N. Ebrahimi. 2001. Bayesian capture-recapture methods for error detection and estimation of population size: heterogeneity and dependence. Biometrika 88:269279.
  • Breslow, N. E., and D. G. Clayton. 1993. Approximate inference in generalized linear mixed models. J. Am. Stat. Assoc. 88:925.
  • Castledine, B. 1981. A Bayesian analysis of multiple-recapture sampling for a closed population. Biometrika 46:167174.
  • Coull, B. A., and A. Agresti. 1999. The use of mixed logit models to reflect heterogeneity in capture-recapture studies. Biometrics 55:294301.
  • Cox, D. R. 1975. Partial likelihood. Biometrika 62:269276.
  • Diggle, P. J., K. Y. Liang, and S. T. Zeger. 1994. Analysis of longitudinal data. Oxford Science Publications, New York.
  • George, E., and C. Robert. 1992. Capture-recapture sampling via gibbs sampling. Biometrika 79:677683.
  • Ghosh, S. K., and J. Norris. 2005. Bayesian capture-recapture analysis of a closed population allowing for heterogeneity between animals. J. Agric. Biol. Environ. Stat. 10:3549.
  • Gosky, R., and S. K. Ghosh. 2009. A comparative study of Bayesian model selection criteria for capture-recapture models for closed populations. J. Mod. Appl. Stat. Methods 9:6880.
  • Gosky, R., and S. K. Ghosh. 2011. A comparative study of Bayes estimators of closed population size from capture-recapture data. J. Stat. Theory Pract. 5:241260.
  • Huggins, R. M. 1989. On the statistical analysis of capture experiments. Biometrika 76:133140.
  • Huggins, R. M. 1991. Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics 47:725732.
  • Huggins, R. M., and W. H. Hwang. 2011. A review of the use of conditional likelihood in capture-recapture experiments. Int. Stat. Rev. 73:385400.
  • Huggins, R. M., and P. S. Yip. 2001. A note on nonparametric inference for capture-recapture experiments with heterogeneous capture probabilities. Stat. Sin. 11:843853.
  • Hwang, W. H., and R. M. Huggins. 2005. An examination of the effect of heterogeneity on the estimation of population size using capture-recapture data. Biometrika 92:229233.
  • Hwang, W. H., and R. M. Huggins. 2007. Application of semiparametric regression models in the analysis of capture-recapture experiments. Aust. NZ J. Stat. 49:191212.
  • King, R., and S. P. Brooks. 2008. Bayesian estimation of a closed population size in the presence of heterogeneity and model uncertainty. Biometrics 64:816824.
  • Lee, S., and A. Chao. 1994. Estimating population size via sample coverage for closed capture-recapture models. Biometrics 50:8897.
  • Lee, S. M., W. H. Hwang, and L.H. Huang. 2003. Bayes estimation of population size from capture-recapture models with time variation and behavior response. Stat. Sin. 13:477494.
  • Liang, K., and S. L. Zeger. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73:1322.
  • Link, W. A. 2003. Nonidentifiability of population size from capture-recapture data with heterogeneous detection probabilities. Biometrics 59:11251132.
  • Madigan, D., and J. C. York. 1997. Bayesian methods for estimation of the size of a closed population. Biometrika 84:1931.
  • Nichols, J. D. 1986. On the use of enumeration estimators for interspecific comparisons, with comments on a “trappability” estimator. J. Mammal. 67:590593.
  • Nichols, J. D., and K. H. Pollock. 1983. Estimation methodology in contemporary small mammal capture-recapture studies. J. Mammal. 64:253260.
  • Otis, D. L., K. P. Burnham, G. C. White, and D. R. Anderson. 1978. Statistical inference from capture data on closed animal populations. Wildl. Monogr. 62:1135.
  • Patil, G. P. 1962. Maximum likelihood estimation for generalized power series distributions and its application to a truncated binomial distribution. Biometrika 49(1 & 2), 227237.
  • Pinheiro, J., and D. M., Bates. 2000. Mixed-effects models in S and S-PLUS. Statistics and Computing Series, Springer-Verlag, New York, NY.
  • Pollock, K., J. Hines, and J. Nichols. 1984. The use of auxiliary variables in capture-recapture and removal experiments. Biometrics 40:329340.
  • Pradel, R., and A. Sanz-Aguilar. 2012. Modeling trap-awareness and related phenomena in capture-recapture studies. PLoS One 7:e32666.
  • Seber, G. A. F. 2002. The Estimation of animal abundance and related parameters. Edward Arnold, London, U.K.
  • Smith, P. 1991. Bayesian analyses for a multiple capture-recapture model. Biometrika 78:99407.
  • Stoklosa, J., W. Hwang, S. Wu, and R. Huggins. 2011. Heterogeneous capture-recapture models with covariates: a partial likelihood approach for closed populations. Biometrics 67:16591665.
  • Wang, X., C. Z. He, and D. Sun. 2007. Bayesian population estimation for small sample capture-recapture data using noninformative priors. J. Stat. Plan Inference 137:10991118.
  • Williams, B. K., J. D. Nichols, and M. J. Conroy. 2002. Analysis and management of animal populations. Academic Press, San Diego, CA.
  • Wood, S. N. 2006. Generalized additive models: an introduction with R. Chapman and Hall/CRC, Boca Raton, FL.
  • Yang, H. C., and A. Chao. 2005. Modeling animals' behavioral response by Markov chain models for capture-recapture experiments. Biometrics 61:10101017.
  • Zhang, S. 2012. A GEE approach for estimating size of hard-to-reach population by using capture recapture data. Statistics 46:175183.