Population Size Estimation with Covariate Values Missing Non-ignorable

被引：0
|
作者：
Li-ping LIU [1 ]
Zhi-chao GUO [1 ]
Xiao-gang DUAN [2 ]
机构：
[1] LMAM and CSS,School of Mathematical Sciences,Peking University
[2] Beijing Normal University
来源：
Acta Mathematicae Applicatae Sinica | 2016年 / 32卷 / 03期
基金：
中国国家自然科学基金;
关键词：
capture-recapture; conditional likelihood; EM algorithm; missing non-ignorable;
D O I：
暂无
中图分类号：
O212.1 [一般数理统计];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
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.
引用
收藏
页码：659 / 668
页数：10
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