Regression M-estimators with one modified form of doubly censored data

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Title:	Regression M-estimators with one modified form of doubly censored data
Authors:	Shen, P.-S.
Contributors:	Department of Statistics, Tunghai University Taichung
Keywords:	Bivariate distribution;Left-censoring;Right-censoring
Date:	2013
Issue Date:	2013-05-15T09:05:47Z (UTC)
Abstract:	In this article, we consider the M-estimators for the linear regression model when both response and covariate variables are subject to double censoring. The proposed estimators are constructed as some functional of three types of estimators for a bivariate survival distribution. The first two estimators are the generalizations of the Campbell and Fldes (1982) and Dabrowska (1988) estimators proposed by Shen (2009). The third estimator is the generalization of the Prentice and Cai (1992) estimator. The consistency of the proposed M-estimators is established. A simulation study is conducted to investigate the performance of the proposed estimators. Furthermore, the simple bootstrap methods are used to estimate standard deviations and construct interval estimators. Copyright ? Taylor & Francis Group, LLC.
Relation:	Communications in Statistics: Simulation and Computation Volume 42, Issue 3, 1 January 2013, Pages 603-612
Appears in Collections:	[Department of Statistics ] Periodical Articles

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