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Admissibilities of linear estimator in a class of linear models with a multivariate t error variable
Yang GuoQing1; Wu QiGuang2
2010-08-01
发表期刊SCIENCE CHINA-MATHEMATICS
ISSN1674-7283
卷号53期号:8页码:2011-2019
摘要This paper discusses admissibilities of estimators in a class of linear models, which include the following common models: the univariate and multivariate linear models, the growth curve model, the extended growth curve model, the seemingly unrelated regression equations, the variance components model, and so on. It is proved that admissible estimators of functions of the regression coefficient beta in the class of linear models with multivariate t error terms, called as Model II, are also ones in the case that error terms have multivariate normal distribution under a strictly convex loss function or a matrix loss function. It is also proved under Model II that the usual estimators of beta are admissible for p <= 2 with a quadratic loss function, and are admissible for any p with a matrix loss function, where p is the dimension of beta.
关键词multivariate t distribution convex loss quadratic loss matrix loss admissible estimator
DOI10.1007/s11425-010-4050-3
语种英语
资助项目National Natural Science Foundation of China[10871146] ; National Natural Science Foundation of China[10771015]
WOS研究方向Mathematics
WOS类目Mathematics, Applied ; Mathematics
WOS记录号WOS:000281011200010
出版者SCIENCE PRESS
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/10135
专题中国科学院数学与系统科学研究院
通讯作者Yang GuoQing
作者单位1.Tongji Univ, Dept Math, Shanghai 200092, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China
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Yang GuoQing,Wu QiGuang. Admissibilities of linear estimator in a class of linear models with a multivariate t error variable[J]. SCIENCE CHINA-MATHEMATICS,2010,53(8):2011-2019.
APA Yang GuoQing,&Wu QiGuang.(2010).Admissibilities of linear estimator in a class of linear models with a multivariate t error variable.SCIENCE CHINA-MATHEMATICS,53(8),2011-2019.
MLA Yang GuoQing,et al."Admissibilities of linear estimator in a class of linear models with a multivariate t error variable".SCIENCE CHINA-MATHEMATICS 53.8(2010):2011-2019.
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