Approximate estimations in capture–recapture model with heteroscedastic measurement errors
學年 102
學期 1
出版(發表)日期 2013-10-01
作品名稱 Approximate estimations in capture–recapture model with heteroscedastic measurement errors
作品名稱(其他語言)
著者 Hwang, Wen-Han; Huang, Yih-Huei; Chen, Fei-Yin
單位 淡江大學數學學系
出版者 Abingdon: Taylor & Francis
著錄名稱、卷期、頁數 Journal of Statistical Computation and Simulation
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.
關鍵字 differential measurement error;population size;regression calibration;SIMEX;small measurement error
語言 en
ISSN 0094-9655
期刊性質 國外
收錄於
產學合作
通訊作者 Huang, Yih-Huei
審稿制度
國別 GBR
公開徵稿
出版型式 ,電子版,紙本
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