Superiority of empirical Bayes estimation of error variance in linear model
被引:2
|
作者:
Chen, Ling
论文数: 0引用数: 0
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机构:
Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
Anhui Univ, Sch Math Sci, Hefei 230039, Peoples R ChinaUniv Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
Chen, Ling
[1
,2
]
Wei, Laisheng
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R ChinaUniv Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
Wei, Laisheng
[1
]
机构:
[1] Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
[2] Anhui Univ, Sch Math Sci, Hefei 230039, Peoples R China
Linear regression model;
error variance;
parametric empirical Bayes estimation;
mean square error criterion;
simulation result;
REGRESSION MODEL;
D O I:
10.1007/s11464-012-0198-1
中图分类号:
O1 [数学];
学科分类号:
0701 ;
070101 ;
摘要:
In this paper, the Bayes estimator of the error variance is derived in a linear regression model, and the parametric empirical Bayes estimator (PEBE) is constructed. The superiority of the PEBE over the least squares estimator (LSE) is investigated under the mean square error (MSE) criterion. Finally, some simulation results for the PEBE are obtained.
机构:
Department of Statistics and Finance,University of Science and Technology of ChinaDepartment of Statistics and Finance,University of Science and Technology of China
机构:
Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
Anhui Univ, Sch Math Sci, Hefei 230039, Peoples R ChinaUniv Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China
Chen, Ling
Wei, Laisheng
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R ChinaUniv Sci & Technol China, Dept Stat & Finance, Hefei 230026, Peoples R China