Estimation of a Logistic regression Model with Mismeasured Observations

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题名:	Estimation of a Logistic regression Model with Mismeasured Observations
作者:	鄭光甫;(Hsueh, H. M.)
贡献者:	公共衛生學院公共衛生學系
关键词:	Kernel estimation;estimated likelihood;logistic regression;measurement error;misclassification
日期:	2003-01
上传时间:	2009-08-19 16:48:16 (UTC+8)
摘要:	We consider the estimation problem of a logistic regression model. We assume the response observations and covariate values are both subject to measurement errors. We discuss some parametric and semiparametric estimation methods using mismeasured observations with validation data and derive their asypmtotic distributions. Our results are extentions of some well known results in the literature. Comparisons of the asymptotic covariance matrices of the studied estimators are made, and some lower and upper bounds for the asymptotic relative efficiencies are given to show the advantages of the semiparametric method. Some simulation results also show the method performs well.
關聯:	STATISTICA SINICA (13):111~127
显示于类别:	[公共衛生學系暨碩博班] 期刊論文

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