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- W2020060462 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. The Canadian Journal of Statistics 37: 645–658; 2009 © 2009 Statistical Society of Canada Pour les modèles de capture-recapture où les covariables sont sujettes à erreurs ou encore manquantes, un ensemble d'équations d'estimation est obtenu afin d'estimer la taille de la population et les paramètres pertinents. Ces équations d'estimation peuvent être résolues par un algorithme similaire à l'algorithme EM. Cette méthode est aussi applicable lorsqu'il y a des valeurs manquantes dans les covariables et que celles-ci sont mesurées exactement. Des études de simulations illustrent la performance de l'estimateur proposé. L'estimateur est aussi appliqué à une expérience de capture-recapture sur l'espèce aviaire Prinia flaviventris de Hong Kong. La revue canadienne de statistique 37: 645–658; 2009 © 2009 Société statistique du Canada" @default.
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- W2020060462 date "2009-12-01" @default.
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- W2020060462 title "Estimation in captureârecapture models when covariates are subject to measurement errors and missing data" @default.
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- W2020060462 doi "https://doi.org/10.1002/cjs.10038" @default.
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