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Model checks for regression: An innovation process approach
Stute, W; Thies, S; Zhu, LX
1998-10-01
发表期刊ANNALS OF STATISTICS
ISSN0090-5364
卷号26期号:5页码:1916-1934
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.
关键词residual cusum process innovation process goodness-of-fit tests
语种英语
WOS研究方向Mathematics
WOS类目Statistics & Probability
WOS记录号WOS:000079135700012
出版者INST MATHEMATICAL STATISTICS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/13386
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
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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.
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