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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/97786

    题名: Approximate estimations in capture–recapture model with heteroscedastic measurement errors
    作者: Hwang, Wen-Han;Huang, Yih-Huei;Chen, Fei-Yin
    贡献者: 淡江大學數學學系
    关键词: differential measurement error;population size;regression calibration;SIMEX;small measurement error
    日期: 2013-10
    上传时间: 2014-04-21 15:37:54 (UTC+8)
    出版者: Abingdon: Taylor & Francis
    摘要: In a capture–recapture experiment, the number of measurements for individual covariates usually equals the number of captures. This creates a heteroscedastic measurement error problem and the usual surrogate condition does not hold in the context of a measurement error model. This study adopts a small measurement error assumption to approximate the conventional estimating functions and the population size estimator. This study also investigates the biases of the resulting estimators. In addition, modifications for two common approximation methods, regression calibration and simulation extrapolation, to accommodate heteroscedastic measurement error are also discussed. These estimation methods are examined through simulations and illustrated by analysing a capture–recapture data set.
    關聯: Journal of Statistical Computation and Simulation
    DOI: 10.1080/00949655.2013.845669
    显示于类别:[數學學系暨研究所] 期刊論文





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