数学物理学报(英文版)

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THE SUPERIORITY OF EMPIRICAL BAYES ESTIMATION OF PARAMETERS IN PARTITIONED NORMAL LINEAR MODEL

张伟平; 韦来生   

  1. 中国科技大学统计与金融系, 合肥 230026
  • 收稿日期:2005-12-23 修回日期:2006-09-18 出版日期:2008-10-20 发布日期:2008-10-20
  • 通讯作者: 张伟平
  • 基金资助:

    The project was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences (KJCX3-SYW-S02) and the Youth Foundation of USTC

THE SUPERIORITY OF EMPIRICAL BAYES ESTIMATION OF PARAMETERS IN PARTITIONED NORMAL LINEAR MODEL

Zhang Weiping; Wei Laisheng   

  1. Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China
  • Received:2005-12-23 Revised:2006-09-18 Online:2008-10-20 Published:2008-10-20
  • Contact: Zhang Weiping

摘要:

In this article, the empirical Bayes (EB) estimators are constructed for the estimable functions of the parameters in partitioned normal linear model. The superiorities of the EB estimators over ordinary least-squares (LS) estimator are investigated under mean square error matrix (MSEM) criterion.

关键词: Partitioned linear model, empirical Bayes estimator, least-squares estimator, mean square error matrix

Abstract:

In this article, the empirical Bayes (EB) estimators are constructed for the estimable functions of the parameters in partitioned normal linear model. The superiorities of the EB estimators over ordinary least-squares (LS) estimator are investigated under mean square error matrix (MSEM) criterion.

Key words: Partitioned linear model, empirical Bayes estimator, least-squares estimator, mean square error matrix

中图分类号: 

  • 62C12