THE CONVERGENT RATE OF EMPIRICAL BAYES ESTIMATORS FOR PARAMETERS OF NORMAL DISTRIBUTION FAMILY

被引：0

作者：

陶波

机构：

[1] Institute of Systems Science

[2] Academia Sinica

来源：

Acta Mathematicae Applicatae Sinica | 1985年 / 03期

关键词：

prior; estimator; asymptotically; RATE; empirical; stronger; noting; inequality; lemma; 丁口;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper is a continuance of [1].In [1] the empirical Bayes estimator of the parameter vectorof normal distribution family was introduced,and for the loss function (1)its asymptotically optimalproperty was proved with respect to the prior distribution family(2).In this paper its convergentrate is given under stronger conditions than (2) for the prior distributions.

引用

页码：213 / 218

页数：6

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