文章基本信息

标题：Composite Quantile Regression for Nonparametric Model with Random Censored Data
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作者：Rong Jiang ; Weimin Qian
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2013
卷号：3
期号：2
页码：65-73
DOI：10.4236/ojs.2013.32009
出版社：Scientific Research Publishing
摘要：The composite quantile regression should provide estimation efficiency gain over a single quantile regression. In this paper, we extend composite quantile regression to nonparametric model with random censored data. The asymptotic normality of the proposed estimator is established. The proposed methods are applied to the lung cancer data. Extensive simulations are reported, showing that the proposed method works well in practical settings.
关键词：Kaplan-Meier Estimator; Censored Data; Composite Quantile Regression; Kernel Estimator; Nonparametric Model