Median regression model with left truncated and right censored data

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Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/21829

Title:	Median regression model with left truncated and right censored data
Authors:	Shen, P.-S.
Contributors:	Department of Statistics, Tunghai University Taichung
Keywords:	Heteroscedastic;Least absolute deviation;Left truncation;Martingale
Date:	2012
Issue Date:	2013-05-15T09:06:25Z (UTC)
Abstract:	We study the problem of fitting a heteroscedastic median regression model from left-truncated and right-censored data. It is demonstrated that the adapted Efron's self-consistency equation of McKeague et al. (2001) can be extended to analyze left-truncated and right-censored data. We evaluate the finite sample performance of the proposed estimators through simulation studies. ? 2012 Elsevier B.V.
Relation:	Journal of Statistical Planning and Inference Volume 142, Issue 7, July 2012, Pages 1757-1766
Appears in Collections:	[統計學系所] 期刊論文

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