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QIU Hong-bing, LUO Ji. Bayesian linear unbiased estimator and its robustness under the matrix loss function[J]. Journal of East China Normal University (Natural Sciences), 2013, (1): 24-29, 53.
Citation:
QIU Hong-bing, LUO Ji. Bayesian linear unbiased estimator and its robustness under the matrix loss function[J]. Journal of East China Normal University (Natural Sciences), 2013, (1): 24-29, 53.
QIU Hong-bing, LUO Ji. Bayesian linear unbiased estimator and its robustness under the matrix loss function[J]. Journal of East China Normal University (Natural Sciences), 2013, (1): 24-29, 53.
Citation:
QIU Hong-bing, LUO Ji. Bayesian linear unbiased estimator and its robustness under the matrix loss function[J]. Journal of East China Normal University (Natural Sciences), 2013, (1): 24-29, 53.
It was proved that the Bayesian linear unbiased estimator
of the unknown parameters in a general linear model under the
quadratic loss function is also the Bayesian linear unbiased
estimator under the matrix loss function. The robustness of the
Bayesian linear unbiased estimator of the unknown parameter in terms
of error distributions was also discussed; moreover, the necessary
and sufficient conditions are obtained, under which the Bayesian
linear unbiased estimator of the unknown parameters hold its
optimality.
{1}TRENKLER G, WEI L S. The Bayes estimator in a misspecifiedregression model[J]. Test, 1996, 5: 113-123.{2}张伟平. 线性模型中\,Bayes\,分析若干问题研究[D]. 合肥:中国科学技术大学统计与金融系, 2005.{3}WEI L S, ZHANG W P. The superiorities of Bayes linear minimun riskestimation in linear model[J]. Communications in Statistics-Theoryand Methods, 2007, 36: 917-926.{4}韦来生. 错误先验假定下回归系数\,Bayes\,估计的小样本性质[J].应用概率统计, 2000, 6(1): 71-80.