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Weighted empirical likelihood for generalized linear models with longitudinal data
Bai, Yang1; Fung, Wing Kam2; Zhu, Zhongyi3
刊名JOURNAL OF STATISTICAL PLANNING AND INFERENCE
2010-11
卷号140期号:11页码:3446-3456
关键词Confidence region Empirical likelihood Generalized linear models Longitudinal data
ISSN号0378-3758
DOI10.1016/j.jspi.2010.05.007
英文摘要In this paper, we introduce the empirical likelihood (EL) method to longitudinal studies. By considering the dependence within subjects in the auxiliary random vectors, we propose a new weighted empirical likelihood (WEL) inference for generalized linear models with longitudinal data. We show that the weighted empirical likelihood ratio always follows an asymptotically standard chi-squared distribution no matter which working weight matrix that we have chosen, but a well chosen working weight matrix can improve the efficiency of statistical inference. Simulations are conducted to demonstrate the accuracy and efficiency of our proposed WEL method, and a real data set is used to illustrate the proposed method. (C) 2010 Elsevier B.V. All rights reserved.
WOS研究方向Mathematics
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000279997000044
内容类型期刊论文
源URL[http://10.2.47.112/handle/2XS4QKH4/2348]  
专题上海财经大学
通讯作者Bai, Yang
作者单位1.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China;
2.Univ Hong Kong, Dept Stat & Actuarial Sci, Hong Kong, Hong Kong, Peoples R China;
3.Fudan Univ, Sch Management, Dept Stat, Shanghai 200433, Peoples R China
推荐引用方式
GB/T 7714
Bai, Yang,Fung, Wing Kam,Zhu, Zhongyi. Weighted empirical likelihood for generalized linear models with longitudinal data[J]. JOURNAL OF STATISTICAL PLANNING AND INFERENCE,2010,140(11):3446-3456.
APA Bai, Yang,Fung, Wing Kam,&Zhu, Zhongyi.(2010).Weighted empirical likelihood for generalized linear models with longitudinal data.JOURNAL OF STATISTICAL PLANNING AND INFERENCE,140(11),3446-3456.
MLA Bai, Yang,et al."Weighted empirical likelihood for generalized linear models with longitudinal data".JOURNAL OF STATISTICAL PLANNING AND INFERENCE 140.11(2010):3446-3456.
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