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Population size estimation with covariate values missing non-ignorable

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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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Correspondence to Li-ping Liu.

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Supported in part by the National Natural Science Foundation of China under Grant No. 11171006.

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Liu, Lp., Guo, Zc. & Duan, Xg. Population size estimation with covariate values missing non-ignorable. Acta Math. Appl. Sin. Engl. Ser. 32, 659–668 (2016). https://doi.org/10.1007/s10255-016-0611-8

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  • DOI: https://doi.org/10.1007/s10255-016-0611-8

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