文献类型：期刊文献

中文题名：Empirical Bayes Test for the Parameter of Rayleigh Distribution with Error of Measurement

英文题名：Empirical Bayes Test for the Parameter of Rayleigh Distribution with Error of Measurement

作者：HUANG JUAN[1]

机构：[1]School of Science, Guangdong Ocean University, Zhanjiang, Guangdong, 521088

年份：2011

卷号：27

期号：1

起止页码：17

中文期刊名：数学研究通讯：英文版

收录：CSTPCD、、CSCD2011_2012、CSCD

基金：The NSF(1012138,0612163)of Guangdong Ocean Unversity;the Scientific and Technological Project(2010C3112006)of Zhanjiang

语种：中文

中文关键词：Rayleigh分布;经验Bayes检验;测量误差;误差参数;检验规则;分布参数;渐近最优;收敛速度

外文关键词：error of measurement, empirical Bayes, asymptotic optimality, convergence rate

中文摘要：为有在历史的样品的测量的错误的数据，瑞利分发的参数的实验 Bayes 测试规则被构造，并且 asymptotically 最佳的性质是 obtained.It 被显示出建议 EB 测试规则的集中率能在合适的条件下面离 O ( n-1/2 )任意地靠近。

外文摘要：For the data with error of measurement in historical samples, the empirical Bayes test rule for the parameter of Rayleigh distribution is constructed, and the asymptotically optimal property is obtained. It is shown that the convergence rate of the proposed EB test rule can be arbitrarily close to O（n-1/2） under suitable conditions.