Admissibility of linear estimators for the stochastic regression coefficient in a general Gauss–Markoff model under a balanced loss function-Reference-Cited by-同舟云学术

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

Published:2014-02 Issue: Volume:124 Page:25-30
ISSN:0047-259X
Container-title:Journal of Multivariate Analysis
language:en
Short-container-title:Journal of Multivariate Analysis

Author:

Cao Mingxiang^ORCID

Funder

UEYTF of AnHui Province

Department of Education of AnHui Province

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Numerical Analysis,Statistics and Probability

Reference21 articles.

1. Φ admissibility for linear estimators on regression coefficients in a general multivariate linear model under balanced loss function;Cao;J. Statist. Plann. Inference,2009

2. Simultaneous estimation of the multivariate normal mean under balanced loss function;Chung;Commun. Stat. - Theory Methods,1997

3. On estimation with balanced loss functions;Dey;Statist. Probab. Lett.,1999

4. The sufficient and necessary conditions for a linear estimator of stochastic regressions coefficient and parameters to be admissible under the quadratic loss function;Dong;Acta Math. Sin.,1988

5. On admissibility of linear estimators with respect to the mean square error matrix criterion under the general mixed linear model;Gross;Statistics,1999

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