Asymptotic normality in a semiparametric partially linear model with right-censored data

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	Asymptotic normality in a semiparametric partially linear model with right-censored data
	Liang, H ; Zhou, Y
	1998
发表期刊	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
ISSN	0361-0926
卷号	27 期号:12 页码:2895-2907
摘要	The effect of incomplete observation characteristics in a semiparametric partially linear model is examined. To construct estimate of interest-in-parameter, synthetic data and generalized profile likelihood, are employed. It is shown that the resulting estimator is asymptotic normal under mild assumptions. Simulations are also presented to explain the behavior of the estimate in the case of small-samples.
关键词	Kaplan-Meier estimator split-sample
语种	英语
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000077485200002
出版者	MARCEL DEKKER INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/13362
专题	应用数学研究所
作者单位	1.Acad Sinica, Inst Syst Sci, Beijing 100080, Peoples R China 2.Inst Stat & Econometr, D-10178 Berlin, Germany 3.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Liang, H,Zhou, Y. Asymptotic normality in a semiparametric partially linear model with right-censored data[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,1998,27(12):2895-2907.
APA	Liang, H,&Zhou, Y.(1998).Asymptotic normality in a semiparametric partially linear model with right-censored data.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,27(12),2895-2907.
MLA	Liang, H,et al."Asymptotic normality in a semiparametric partially linear model with right-censored data".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 27.12(1998):2895-2907.