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一类线性模型参数的Bayes估计及其优良性
引用本文:霍涉云,张伟平,韦来生. 一类线性模型参数的Bayes估计及其优良性[J]. 中国科学技术大学学报, 2007, 37(7): 773-776,802
作者姓名:霍涉云  张伟平  韦来生
作者单位:中国科学技术大学统计与金融系,安徽合肥,230026
基金项目:高等学校博士学科点专项科研项目;中国科学院知识创新工程重要性方向项目
摘    要:导出了一类线性模型中参数的Bayes线性无偏估计.在均方误差矩阵准则、predictive Pit mancloseness(PRPC)和posterior Pit man closeness(PPC)准则下分别研究了Bayes线性无偏估计相对于广义最小二乘估计的优良性.

关 键 词:广义最小二乘估计  Bayes线性无偏估计  均方误差矩阵准则  PRPC准则  PPC准则
文章编号:0253-2778(2007)07-0773-04
修稿时间:2006-09-082006-11-15

The superiorities of Bayes estimation in a class of linear model
HUO She-yun,ZHANG Wei-ping,WEI Lai-sheng. The superiorities of Bayes estimation in a class of linear model[J]. Journal of University of Science and Technology of China, 2007, 37(7): 773-776,802
Authors:HUO She-yun  ZHANG Wei-ping  WEI Lai-sheng
Affiliation:Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China
Abstract:The Bayes linear unbiased estimator(BLUE) of parameters of a class of linear model was derived.The superiorities of the Bayes linear unbiased estimator over generalized least square(GLS) estimator were studied in terms of the mean square error matrix(MSEM) criterion,predictive Pitman closeness(PRPC) criterion and posterior Pitman closeness(PPC) criterion respectively.
Keywords:generalized least square estimator  Bayes linear unbiased estimator  mean square error matrix criterion  predictive Pitman closeness criterion  posterior Pitman closeness criterion
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