文献类型：期刊文献

中文题名：Convergence Rate of Empirical Bayes for Two-parameter Exponential Distribution with Replicated Data

英文题名：Convergence Rate of Empirical Bayes for Two-parameter Exponential Distribution with Replicated Data

作者：Wang De-hui[1];LI NAI-YI[2]

机构：[1]不详;[2]Faculty of Science, Guangdong Ocean University, Zhanjiang, Guangdong, 524088

年份：2010

卷号：26

期号：3

起止页码：211

中文期刊名：数学研究通讯：英文版

收录：CSTPCD、、CSCD2011_2012、CSCD

基金：The NSF (10661003) of China;the NSF (1012138,0612163) of Guangdong Ocean University

语种：中文

中文关键词：双参数指数分布;收敛速度;复制;经验Bayes检验;渐近最优性;两参数

外文关键词：replicated data, empirical Bayes, asymptotic optimality

中文摘要：In this paper,empirical Bayes test for a parameter θ of two-parameter exponential distribution is investigated with replicated past data.Under some conditions,the asymptotically optimal property is obtained.It is indicated that the rate of convergence can be very close to O(N-1/2) in this case that a parameter μ is known.

外文摘要：In this paper, empirical Bayes test for a parameter θ of two-parameter exponential distribution is investigated with replicated past data. Under some conditions, the asymptotically optimal property is obtained. It is indicated that the rate of convergence can be very close to O（N-2^-1） in this case that a parameter μ is known.