中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Empirical likelihood for partial linear models

文献类型:期刊论文

作者Wang, QH; Jing, BY
刊名ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
出版日期2003-09-01
卷号55期号:3页码:585-595
关键词empirical likelihood partial linear model Wilks' theorem
ISSN号0020-3157
英文摘要In this paper the empirical likelihood method due to Owen (1988, Biometrika, 75, 237-249) is applied to partial linear random models. A nonparametric version of Wilks' theorem is derived. The theorem is then used to construct confidence regions of the parameter vector in the partial linear models, which has correct asymptotic coverage. A simulation study is conducted to compare the empirical likelihood and normal approximation based method.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000185963900010
出版者KLUWER ACADEMIC PUBL
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/18409]  
专题应用数学研究所
通讯作者Wang, QH
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
2.Heilongjiang Univ, Harbin, Peoples R China
3.Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Wang, QH,Jing, BY. Empirical likelihood for partial linear models[J]. ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,2003,55(3):585-595.
APA Wang, QH,&Jing, BY.(2003).Empirical likelihood for partial linear models.ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS,55(3),585-595.
MLA Wang, QH,et al."Empirical likelihood for partial linear models".ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 55.3(2003):585-595.

入库方式: OAI收割

来源:数学与系统科学研究院

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