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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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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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 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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Estimation of regression coefficients subject to exact linear restrictions when some observations are missing and quadratic error balanced loss function is used

Test ◽

10.1007/bf02595409 ◽

2005 ◽

Vol 14 (2) ◽

pp. 385-396 ◽

Author(s):

H. Toutenburg ◽

Shalabh

Keyword(s):

Loss Function ◽

Regression Coefficients ◽

Quadratic Error ◽

Balanced Loss Function ◽

Linear Restrictions

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Bayesian Estimation of Regression Coefficients Under Extended Balanced Loss Function

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2012.725498 ◽

2014 ◽

Vol 43 (20) ◽

pp. 4253-4264 ◽

Author(s):

Anoop Chaturvedi ◽

Shalabh

Keyword(s):

Bayesian Estimation ◽

Loss Function ◽

Regression Coefficients ◽

Balanced Loss Function

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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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Φ admissibility of linear estimators of common mean parameter in general multivariate linear models under a balanced loss function

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2019.1710757 ◽

2020 ◽

pp. 1-16

Author(s):

Mingxiang Cao ◽

Junyong Park ◽

Guangjun Shen

Keyword(s):

Loss Function ◽

Linear Models ◽

Common Mean ◽

Balanced Loss Function ◽

Linear Estimators ◽

Multivariate Linear Models

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Admissibility for linear estimators of regression coefficient in a general Gauss–Markoff model under balanced loss function

Journal of Statistical Planning and Inference ◽

10.1016/j.jspi.2010.05.004 ◽

2010 ◽

Vol 140 (11) ◽

pp. 3365-3375 ◽

Author(s):

Guikai Hu ◽

Ping Peng

Keyword(s):

Loss Function ◽

Regression Coefficient ◽

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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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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