Estimating an Exponential Scale Parameter Under Double Censoring

作     者：Yogesh Mani Tripathi Constantinos Petropoulos Farha Sultana 

作者机构：Department of MathematicsIndian Institute of Technology PatnaBihta 801106India Department of MathematicsUniversity of Patras26504 RioGreece 

出 版 物：《Communications in Mathematics and Statistics》 (数学与统计通讯（英文）)

年 卷 期：2019年第7卷第3期

页      面：309-328页

核心收录：

学科分类：07[理学] 0714[理学-统计学（可授理学、经济学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：Science and Engineering Research Board  SERB 

主　　题：Brewster-Zidek estimator Censored samples Equivariant estimator Inadmissibility Stein-type estimator 

摘      要：We consider estimation of the scale parameter of a two-parameter exponential distribution on the basis of doubly censored *** of estimators,improving upon the minimum risk equivariant estimator,are derived under an arbitrary strictly convex loss *** existing dominating procedures are shown to belong to the proposed classes of estimators.