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双向分类随机效应模型中方差分量经验Bayes估计的收敛速度(英文)

  • 王立春 ,
  • 韦来生
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  • 中国科学技术大学统计与金融系, 合肥 230026

收稿日期: 2004-06-07

  修回日期: 2004-11-23

  网络出版日期: 2005-09-15

Empirical Bayes Estimation of Variance Components in Two-Way Classification Random Effects Model

  • WANG Li-Chun ,
  • WEI Lai-Sheng
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  • Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China

Received date: 2004-06-07

  Revised date: 2004-11-23

  Online published: 2005-09-15

Supported by

supported by NSFC(19971085), the Doct oral Program Foundation of the Institute of High Education and the Special Foundation of Chinese Academy of Sciences

摘要

本文在加权平方损失下导出了平衡的双向分类随机效应模型中方差分量的Bayes估计,并利用非参数方法构造了方差分量的经验Bayes(EB)估计.在适当的条件下证明了EB估计的收敛速度.最后,给出一个满足主要结果的例子.

本文引用格式

王立春 , 韦来生 . 双向分类随机效应模型中方差分量经验Bayes估计的收敛速度(英文)[J]. 中国科学院大学学报, 2005 , 22(5) : 545 -553 . DOI: 10.7523/j.issn.2095-6134.2005.5.003

Abstract

Under weighted squared-error loss function, Bayes estimators of variance components are derived and empirical Bayes (EB) estimators are constructed by nonparametric method for balanced twoway classification random effects model. The convergence rates of EB estimators are established under suitable conditions. Finally, an example concerning the main result is given.

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