General Admissibility for Linear Estimators in a General Multivariate Linear Model under Balanced Loss Function

A generalization of Zellner’s balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the generalized balanced loss function. And the sufficient and necessary conditions for linear estimators to be generally admissible in classes of homo...

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Published inActa mathematica Sinica. English series Vol. 29; no. 9; pp. 1823 - 1832
Main Authors Cao, Ming Xiang, Kong, Fan Chao
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2013
Springer Nature B.V
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Abstract A generalization of Zellner’s balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the generalized balanced loss function. And the sufficient and necessary conditions for linear estimators to be generally admissible in classes of homogeneous and nonhomogeneous linear estimators are given, respectively.
AbstractList A generalization of Zellner's balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the generalized balanced loss function. And the sufficient and necessary conditions for linear estimators to be generally admissible in classes of homogeneous and nonhomogeneous linear estimators are given, respectively. [PUBLICATION ABSTRACT]
A generalization of Zellner's balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the generalized balanced loss function. And the sufficient and necessary conditions for linear estimators to be generally admissible in classes of homogeneous and nonhomogeneous linear estimators are given, respectively.
Author Ming Xiang CAO Fan Chao KONG
AuthorAffiliation Department of Mathematics, Hefei Normal University, Hefei 230601, P. R. China School of Mathematics, Anhui University, Hefei 230039, P. R. China
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CitedBy_id crossref_primary_10_1016_j_spl_2014_06_022
Cites_doi 10.1007/978-1-4612-2618-5_28
10.1007/s10114-004-0458-4
10.1214/aos/1176342810
10.1016/S0252-9602(18)30146-2
10.1360/csb1990-35-12-881
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Copyright Institute of Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Chinese Mathematical Society and Springer-Verlag Berlin Heidelberg 2013
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Issue 9
Keywords Balanced loss function
62J05
general optimality
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general admissibility
linear estimators
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Notes Balanced loss function; linear estimators; general optimality; general admissibility
A generalization of Zellner’s balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the generalized balanced loss function. And the sufficient and necessary conditions for linear estimators to be generally admissible in classes of homogeneous and nonhomogeneous linear estimators are given, respectively.
Ming Xiang CAO,Fan Chao KONG(Department of Mathematics, Hefei Normal University, Hefei 230601, P. R. China;School of Mathematics, Anhui University, Hefei 230039, P. R. China)
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PublicationTitle Acta mathematica Sinica. English series
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Springer Nature B.V
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Rao (CR5) 1965
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Xu, Wu (CR12) 2000; 20
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Xie, Zhang (CR10) 1993; 35
M Xie (9246_CR8) 1994; 14
M Xie (9246_CR9) 1995; 11
A Zellner (9246_CR14) 1994
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H Qin (9246_CR4) 1994; 10
L Xu (9246_CR11) 2006; 29
M Xie (9246_CR10) 1993; 35
M Xie (9246_CR7) 1990; 35
J Kiefer (9246_CR3) 1974; 2
C R Rao (9246_CR5) 1965
L Dong (9246_CR2) 1988; 31
X Xu (9246_CR13) 2005; 21
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Snippet A generalization of Zellner’s balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the...
A generalization of Zellner's balanced loss function is proposed. General admissibility in a general multivariate linear model is investigated under the...
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SubjectTerms Balancing
Estimators
Mathematical analysis
Mathematical models
Mathematics
Mathematics and Statistics
Studies
Theorems
一般化
充分必要条件
多元线性模型
容许
平衡
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Title General Admissibility for Linear Estimators in a General Multivariate Linear Model under Balanced Loss Function
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https://link.springer.com/article/10.1007/s10114-013-9246-3
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Volume 29
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