中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Model checks for regression: An innovation process approach

文献类型:期刊论文

作者Stute, W; Thies, S; Zhu, LX
刊名ANNALS OF STATISTICS
出版日期1998-10-01
卷号26期号:5页码:1916-1934
关键词residual cusum process innovation process goodness-of-fit tests
ISSN号0090-5364
英文摘要In the context of regression analysis it is known that the residual cusum process may serve as a basis for the construction of various omnibus, smooth and directional goodness-of-fit tests. Since a deeper analysis requires the decomposition of the cusums into their principal components and this is difficult to obtain, we propose to replace this process by its innovation martingale. It turns out that the resulting tests are (asymptotically) distribution free under composite null models and may be readily performed. A simulation study is included which indicates that the distributional approximations already work for small to moderate sample sizes.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000079135700012
出版者INST MATHEMATICAL STATISTICS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/13385]  
专题中国科学院数学与系统科学研究院
通讯作者Stute, W
作者单位1.Univ Giessen, Inst Math, D-35392 Giessen, Germany
2.Chinese Acad Sci, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Stute, W,Thies, S,Zhu, LX. Model checks for regression: An innovation process approach[J]. ANNALS OF STATISTICS,1998,26(5):1916-1934.
APA Stute, W,Thies, S,&Zhu, LX.(1998).Model checks for regression: An innovation process approach.ANNALS OF STATISTICS,26(5),1916-1934.
MLA Stute, W,et al."Model checks for regression: An innovation process approach".ANNALS OF STATISTICS 26.5(1998):1916-1934.

入库方式: OAI收割

来源:数学与系统科学研究院

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