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Estimation in capture–recapture models when covariates are subject to measurement errors and missing data
Author(s) -
Xi Liqun,
Watson Ray,
Wang JiPing,
Yip Paul S. F.
Publication year - 2009
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.1002/cjs.10038
Subject(s) - covariate , mark and recapture , estimator , missing data , statistics , observational error , estimation , data set , estimating equations , econometrics , population , computer science , set (abstract data type) , mathematics , engineering , demography , systems engineering , sociology , programming language
For capture–recapture models when covariates are subject to measurement errors and missing data, a set of estimating equations is constructed to estimate population size and relevant parameters. These estimating equations can be solved by an algorithm similar to the EM algorithm. The proposed method is also applicable to the situation when covariates with no measurement errors have missing data. Simulation studies are used to assess the performance of the proposed estimator. The estimator is also applied to a capture–recapture experiment on the bird species Prinia flaviventris in Hong Kong. The Canadian Journal of Statistics 37: 645–658; 2009 © 2009 Statistical Society of Canada