Empirical Bayes Test for Two-parameter Exponential Distribution under Type-Ⅱ Censored Samples

作     者：WANG Liang SHI Yi-min CHANG Ping 

作者机构：Department of Applied MathematicsNorthwestern Polytechnical UniversityXi’an 710072China College of MedicineXi’an Jiaotong UniversityXi’an 710061China 

出 版 物：《Chinese Quarterly Journal of Mathematics》 (数学季刊（英文版）)

年 卷 期：2012年第27卷第1期

页      面：54-58页

核心收录：

学科分类：02[经济学] 0202[经济学-应用经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 070103[理学-概率论与数理统计] 0701[理学-数学] 

基　　金：Supported by the NNSF of China(70471057) Supported by the Natural Science Foundation of the Education Department of Shannxi Province(03JK065) 

主　　题：two-parameter exponential distribution wavelets estimation empirical Bayes test asymptotic optimality convergence rates 

摘      要：The empirical Bayes test problem is considered for scale parameter of twoparameter exponential distribution under type-II censored *** using wavelets estimation method,the EB test function is constructed,of which the asymptotic optimality and convergence rates are ***,an example concerning the main result is given.