Empirical likelihood semiparametric regression analysis under random censorship
Wang, QH; Li, G
刊名JOURNAL OF MULTIVARIATE ANALYSIS
2002-11-01
卷号83期号:2页码:469-486
关键词empirical likelihood partly linear model product-limit estimator random censorship
ISSN号0047-259X
DOI10.1006/jmva.2001.2060
英文摘要This paper considers large sample inference for the regression parameter in a partly linear model for right censored data. We introduce an estimated empirical likelihood for the regression parameter and show that its limiting distribution is a mixture of central chi-squared distributions. A Monte Carlo method is proposed to approximate the limiting distribution. This enables one to make empirical likelihood-based inference for the regression parameter. We also develop an adjusted empirical likelihood method which only appeals to standard chi-square tables. Finite sample performance of the proposed methods is illustrated in a simulation study. (C) 2002 Elsevier Science (USA).
WOS研究方向Mathematics
语种英语
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
WOS记录号WOS:000179521500011
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/17717]  
专题应用数学研究所
通讯作者Wang, QH
作者单位Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Wang, QH,Li, G. Empirical likelihood semiparametric regression analysis under random censorship[J]. JOURNAL OF MULTIVARIATE ANALYSIS,2002,83(2):469-486.
APA Wang, QH,&Li, G.(2002).Empirical likelihood semiparametric regression analysis under random censorship.JOURNAL OF MULTIVARIATE ANALYSIS,83(2),469-486.
MLA Wang, QH,et al."Empirical likelihood semiparametric regression analysis under random censorship".JOURNAL OF MULTIVARIATE ANALYSIS 83.2(2002):469-486.
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