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

Liqun Xi*, Ray Watson, Ji ping Wang, Paul S.F. Yip

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)645-658
Number of pages14
JournalCanadian Journal of Statistics
Volume37
Issue number4
DOIs
StatePublished - Dec 2009

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Keywords

  • Capture-recapture
  • EM algorithm
  • Estimating function
  • Measurement error
  • Missing covariate
  • Population size

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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