摘要
通过讨论回归系数的混合估计和Bayes估计的相关附加信息全部损失的条件,本文给出了线性模型中选择相关附加样本应遵守的一个原则,并研究了两个应用问题。
By discusing the condition of losing all correlated additional information for the mixedestimate and Bayes estimate,we give a fundamentel rule of choosing the expanding correlatedsample data in the linear model. Finally,two examples are given to illustrate our results.
出处
《邵阳学院学报（社会科学版）》
1996年第2X期1-6,共6页
Journal of Shaoyang University:Social Science Edition
关键词
线性模型
相关样本
回归系数
混合估计
BAYES估计
Linear Moldel
Correlated Sample
Regression Coefficient
Mixed Estimate
Bayes Estimate
