Approximate estimations in capture–recapture model with heteroscedastic measurement errors

淡江大學機構典藏 > 理學院 > 數學學系暨研究所 > 期刊論文 > Item 987654321/97786

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

文件中的档案:

档案	描述	大小	格式	浏览次数
Approximate estimations in capture–recapture model with heteroscedastic measurement errors.pdf		414Kb	Adobe PDF	0	检视/开启
index.html		0Kb	HTML	84	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章