期刊名称：Sankhya. Series A, mathematical statistics and probability
印刷版ISSN：0976-836X
电子版ISSN：0976-8378
出版年度：2017
卷号：79
期号：1
页码：1-12
DOI：10.1007/s13171-016-0095-x
语种：English
出版社：Indian Statistical Institute
摘要：We consider nonparametric inference for error hazard rates in linear regression with right censored data. The estimator for hazard rate function is defined based on the kernel-smoothed estimator of error density, which makes use of the Kaplan-Meier estimator of the error distribution. We obtain the limit distribution for the maximum deviation of the hazard rate estimator.
关键词：Censored linear regression ; Right censored data ; Kaplan-Meier estimator ; Kernel estimation ; Hazard rate estimator
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