Longitudinal data analysis based on generalized linear partially varying-coefficient models
Rong, Yaohua; Tang, Manlai; Tian, Maozai
2017
发表期刊COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷号46期号:4页码:1983-2001
摘要In this article, we consider a generalized linear partially varying-coefficient model for longitudinal data analysis. A local quasi-likelihood method is proposed to estimate the constant-coefficient and varying-coefficient functions simultaneously based on the local polynomial kernel regression. The corresponding standard error estimates are derived. Large sample properties are investigated. The proposed methodologies are demonstrated by extensive simulation studies and a real example.
关键词Generalized estimating equations local polynomial kernel regression varying-coefficient models working correlation matrix 62G09
DOI10.1080/03610926.2015.1032421
收录类别SCI ; EI ; SCOPUS ; SCIE
ISSN0361-0926
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000388881600032
出版者TAYLOR & FRANCIS INC
EI入藏号20164803056141
原始文献类型Article
EISSN1532-415X
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/1133
专题统计与数据科学学院
作者单位1.Beijing Univ Technol, Sch Appl Sci, Beijing, Peoples R China;
2.Hang Seng Management Coll, Dept Math & Stat, Shatin, Peoples R China;
3.Renmin Univ China, Sch Stat, Ctr Appl Stat, Beijing, Peoples R China;
4.Lanzhou Univ Finance & Econ, Sch Stat, Lanzhou, Gansu, Peoples R China;
5.Xinjing Univ Finance & Econ, Sch Stat & Informat, Xinjiang, Peoples R China
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Rong, Yaohua,Tang, Manlai,Tian, Maozai. Longitudinal data analysis based on generalized linear partially varying-coefficient models[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,2017,46(4):1983-2001.
APA Rong, Yaohua,Tang, Manlai,&Tian, Maozai.(2017).Longitudinal data analysis based on generalized linear partially varying-coefficient models.COMMUNICATIONS IN STATISTICS-THEORY AND METHODS,46(4),1983-2001.
MLA Rong, Yaohua,et al."Longitudinal data analysis based on generalized linear partially varying-coefficient models".COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 46.4(2017):1983-2001.
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