Block empirical likelihood for longitudinal partially linear regression models

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	Block empirical likelihood for longitudinal partially linear regression models
	You, JH ; Chen, GM ; Zhou, Y
	2006-03-01
发表期刊	CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
ISSN	0319-5724
卷号	34 期号:1 页码:79-96
摘要	The authors propose a block empirical likelihood procedure to accommodate the within-group correlation in longitudinal partially linear regression models. This leads them to prove a nonparametric version of the Wilks theorem. In comparison with normal approximations, their method does not require a consistent estimator for the asymptotic covariance matrix, which makes it easier to conduct inference on the parametric component of the model. An application to a longitudinal study on fluctuations of progesterone level in a menstrual cycle is used to illustrate the procedure developed here.
关键词	block empirical likelihood confidence region longitudinal data partially linear regression model semiparametric inference Wilks theorem
语种	英语
WOS研究方向	Mathematics
WOS类目	Statistics & Probability
WOS记录号	WOS:000237203900006
出版者	CANADIAN JOURNAL STATISTICS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/3300
专题	应用数学研究所
通讯作者	You, JH
作者单位	1.Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA 2.Univ Calgary, Dept Math & Stat, Calgary, AB T2N 1N4, Canada 3.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	You, JH,Chen, GM,Zhou, Y. Block empirical likelihood for longitudinal partially linear regression models[J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,2006,34(1):79-96.
APA	You, JH,Chen, GM,&Zhou, Y.(2006).Block empirical likelihood for longitudinal partially linear regression models.CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,34(1),79-96.
MLA	You, JH,et al."Block empirical likelihood for longitudinal partially linear regression models".CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 34.1(2006):79-96.