Characterization of Admissible Linear Estimators in Multivariate Linear Model with Respect to Inequality Constraints under Matrix Loss Function

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2011.615441 ◽

2013 ◽

Vol 42 (15) ◽

pp. 2837-2850 ◽

Author(s):

Shangli Zhang ◽

Zhide Fang ◽

Gang Liu

Keyword(s):

Linear Model ◽

Loss Function ◽

Inequality Constraints ◽

Multivariate Linear Model ◽

Linear Estimators ◽

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General admissibility for linear estimators in a general multivariate linear model under balanced loss function

Acta Mathematica Sinica English Series ◽

10.1007/s10114-013-9246-3 ◽

2013 ◽

Vol 29 (9) ◽

pp. 1823-1832 ◽

Author(s):

Ming Xiang Cao ◽

Fan Chao Kong

Keyword(s):

Linear Model ◽

Loss Function ◽

Multivariate Linear Model ◽

Balanced Loss Function ◽

Linear Estimators

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Necessary and sufficient conditions that linear estimators of a mixed effects linear model are admissible under matrix loss function

10.1080/02331888308802417 ◽

1993 ◽

Vol 24 (4) ◽

pp. 303-309 ◽

Author(s):

Fu Yong Lin ◽

Tang Shang Yong

Keyword(s):

Linear Model ◽

Loss Function ◽

Sufficient Conditions ◽

Mixed Effects ◽

Necessary And Sufficient Conditions ◽

Linear Estimators ◽

Matrix Loss ◽

Necessary And Sufficient

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Admissibility of linear estimators with respect to inequality constraints under matrix loss function

Linear Algebra and its Applications ◽

10.1016/j.laa.2008.07.012 ◽

2009 ◽

Vol 430 (1) ◽

pp. 241-250 ◽

Author(s):

Dao-Jiang He ◽

Da-Wei Guo

Keyword(s):

Loss Function ◽

Inequality Constraints ◽

Linear Estimators ◽

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admissibility for linear estimators on regression coefficients in a general multivariate linear model under balanced loss function

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2009.03.013 ◽

2009 ◽

Vol 139 (9) ◽

pp. 3354-3360 ◽

Author(s):

Mingxiang Cao

Keyword(s):

Linear Model ◽

Loss Function ◽

Regression Coefficients ◽

Multivariate Linear Model ◽

Balanced Loss Function ◽

Linear Estimators

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Admissibility of Linear Predictors in the Superpopulation Model with Respect to Inequality Constraints under Matrix Loss Function

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2010.498645 ◽

2011 ◽

Vol 40 (21) ◽

pp. 3789-3799 ◽

Author(s):

Daojiang He ◽

Xingzhong Xu

Keyword(s):

Loss Function ◽

Inequality Constraints ◽

Superpopulation Model ◽

Matrix Loss ◽

Linear Predictors

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Characterization of admissible linear estimators under extended balanced loss function

Kybernetika ◽

10.14736/kyb-2021-4-0613 ◽

2021 ◽

pp. 613-627

Author(s):

Buatikan Mirezi ◽

Selahattin Kaçıranlar

Keyword(s):

Loss Function ◽

Balanced Loss Function ◽

Linear Estimators

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Necessary conditions for admissibility of matrix linear estimators in a multivariate linear model

Metrika ◽

10.1007/s00184-009-0238-3 ◽

2009 ◽

Vol 72 (1) ◽

pp. 21-35 ◽

Author(s):

Etsuo Miyaoka ◽

Kazuo Noda

Keyword(s):

Linear Model ◽

Necessary Conditions ◽

Multivariate Linear Model ◽

Linear Estimators

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Matrix linear minimax estimators in a general multivariate linear model under a balanced loss function

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2012.04.004 ◽

2012 ◽

Vol 111 ◽

pp. 286-295 ◽

Author(s):

Guikai Hu ◽

Ping Peng

Keyword(s):

Linear Model ◽

Loss Function ◽

Multivariate Linear Model ◽

Balanced Loss Function ◽

Minimax Estimators

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Characterization of admissible linear estimators in the growth curve model with respect to inequality constraints

Journal of the Korean Statistical Society ◽

10.1016/j.jkss.2010.09.002 ◽

2011 ◽

Vol 40 (2) ◽

pp. 173-179 ◽

Author(s):

Shangli Zhang ◽

Zhide Fang ◽

Hong Qin ◽

Litao Han

Keyword(s):

Growth Curve ◽

Inequality Constraints ◽

Growth Curve Model ◽

Linear Estimators ◽

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Structural distributions in the multivariate linear model

Optimization ◽

10.1080/02331937608842371 ◽

1976 ◽

Vol 7 (5) ◽

pp. 679-683

Author(s):

Michael Nussbaum

Keyword(s):

Linear Model ◽

Multivariate Linear Model

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