摘要
在平衡损失风险函数准则下研究了未知参数的Bayes线性无偏最小方差(BLUMV)估计相对于最小二乘(LS)估计的优良性.在predictive Pitman closeness(PRPC)准则下研究了BLUMV估计相对于LS估计的优良性.
The superiority of Bayes linear unbiased minimum variance（BLUMV） estimator with respect to least square（LS） estimator of unknown parameter was studied in terms of the balanced loss risk function criterion.The superiority of the BLUMV estimator over LS estimator was studied in terms of the predictive Pitman closeness（PRPC） criterion.
基金
国家自然科学基金(10471135)
淮南师范学院科研基金项目(2010LK07)资助
关键词
Bayes线性无偏最小方差估计
最小二乘估计
平衡损失风险函数准则
PRPC准则
Bayes linear unbiased minimum variance estimator
least square estimator
balanced loss risk function criterion
predictive Pitman closeness criterion
