4.0 Article

Estimation in capture-recapture models when covariates are subject to measurement errors and missing data

Publisher

WILEY
DOI: 10.1002/cjs.10038

Keywords

Capture-recapture; EM algorithm; estimating function; measurement error; population size; missing covariate

Funding

  1. Research Grant Committee of the Hong Kong Government

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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 (C) 2009 Statistical Society of Canada

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