Population size estimation with covariate values missing non-ignorable |
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Authors: | Email author" target="_blank">Li-ping?LiuEmail author Zhi-chao?Guo Xiao-gang?Duan |
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Institution: | 1.LMAM and CSS, School of Mathematical Sciences,Peking University,Beijing,China;2.Beijing Normal University,Beijing,China |
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Abstract: | The main purpose of this paper is using capture-recapture data to estimate the population size when some covariate values are missing, possibly non-ignorable. Conditional likelihood method is adopted, with a sub-model describing various missing mechanisms. The derived estimate is proved to be asymptotically normal, and simulation studies via a version of EM algorithm show that it is approximately unbiased. The proposed method is applied to a real example, and the result is compared with previous ones. |
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