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线性模型中回归系数和误差方差的同时Bayes估计的优良性
Superiorities of Simultaneous Bayes Estimation of Regression Coefficients and Error-Variance in Linear Model
【摘要】 在线性模型中回归系数与误差方差具有正态-逆Gamma先验时,导出了回归系数与误差方差的同时Bayes估计.在均方误差矩阵准则和Bayes Pitman closeness准则下,研究了回归系数的Bayes估计相对于最小二乘(LS)估计的优良性,还讨论了误差方差的Bayes估计在均方误差准则下相对于LS估计的优良性.
【Abstract】 The simultaneous Bayes estimators of regression coefficients and error-variance are derived in linear model under the normal-invert Gamma prior distributions.The superiorities of the Bayes estimator over the least squares(LS) estimator for regression coefficients are investigated in terms of the mean square error matrix criterion and Bayes Pitman closeness criterion,and the superiority of the Bayes estimator of error-variance over LS estimator is also discussed under the mean square error criterion.
【关键词】 线性模型;
Bayes估计;
最小二乘估计;
均方误差(矩阵)准则;
Bayes Pitman closeness准则;
【Key words】 Linear model; Bayes estimation; Least squares estimation; Mean square error(matrix) criterion; Bayes Pitman closeness criterion;
【Key words】 Linear model; Bayes estimation; Least squares estimation; Mean square error(matrix) criterion; Bayes Pitman closeness criterion;
【基金】 国家自然科学基金(No11071232);安徽大学青年科研基金(No2011KJQN1002)资助的项目
- 【文献出处】 数学年刊A辑(中文版) ,Chinese Annals of Mathematics , 编辑部邮箱 ,2011年06期
- 【分类号】O212.1
- 【被引频次】7
- 【下载频次】170