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Statistical inference for multivariate partially linear regression models
You, Jinhong1; Zhou, Yong1,2; Chen, Gemai3,4
刊名CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE
2013-03
卷号41期号:1页码:1-22
关键词Contemporaneous correlation partially linear regression profile least squares semiparametric efficiency two-stage estimation MSC 2010: Primary 62H12 secondary 62A10
ISSN号0319-5724
DOI10.1002/cjs.11169
英文摘要In this paper we study a class of multivariate partially linear regression models. Various estimators for the parametric component and the nonparametric component are constructed and their asymptotic normality established. In particular, we propose an estimator of the contemporaneous correlation among the multiple responses and develop a test for detecting the existence of such contemporaneous correlation without using any nonparametric estimation. The performance of the proposed estimators and test is evaluated through some simulation studies and an analysis of a real data set is used to illustrate the developed methodology. The Canadian Journal of Statistics 41: 122; 2013 (c) 2013 Statistical Society of Canada
WOS研究方向Mathematics
语种英语
出版者WILEY-BLACKWELL
WOS记录号WOS:000315142400001
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2006]  
专题上海财经大学
通讯作者Chen, Gemai
作者单位1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China;
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China;
3.Univ Calgary, Dept Math & Stat, Calgary, AB T2N 1N4, Canada;
4.Yunnan Univ Finance & Econ, Sch Math & Stat, Kunming 650221, Peoples R China
推荐引用方式
GB/T 7714
You, Jinhong,Zhou, Yong,Chen, Gemai. Statistical inference for multivariate partially linear regression models[J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,2013,41(1):1-22.
APA You, Jinhong,Zhou, Yong,&Chen, Gemai.(2013).Statistical inference for multivariate partially linear regression models.CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE,41(1),1-22.
MLA You, Jinhong,et al."Statistical inference for multivariate partially linear regression models".CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 41.1(2013):1-22.
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