%0 Journal Article
%T Empirical Bayes Test Problemfor the Parameter of Linear Exponential Distribution<br>线性指数分布参数的经验Bayes检验问题
%A CHEN Jiaqing
%A LIU Cihua
%A <br>陈家清
%J 系统科学与数学
%D 2008
%I 
%X In this paper, the empirical Bayes one-sided and two-sided test rules for the parameter of linear exponential distribution are constructed by using the kernel-type density estimation. The asymptotically optimal property and convergencerates for the proposed EB test rules are obtained under suitable conditions. Finally, an example about the main result of this paper is given.
%K The kernel estimation of density function
%K empirical Bayes test
%K asymptotic optimality
%K convergence rates<br>密度函数的核估计.经验Bayes检验
%K 渐近最优性
%K 收敛速度
%K 线性
%K 指数
%K 分布参数
%K Bayes
%K 检验问题
%K EXPONENTIAL
%K DISTRIBUTION
%K LINEAR
%K PARAMETER
%K PROBLEM
%K TEST
%K 结果
%K 收敛速度
%K 渐近最优
%K 条件
%K 检验函数
%K 构造
%K 密度函数的核估计
%K 概率
%K 利用
%K 双侧
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=37F46C35E03B4B86&jid=0CD45CC5E994895A7F41A783D4235EC2&aid=2CA30B09AF1301F83AFCA88F311EAC10&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=94C357A881DFC066&sid=984BD2F4D19B9D1C&eid=C824C8F9F54AE9B9&journal_id=1000-0577&journal_name=系统科学与数学&referenced_num=1&reference_num=12