Estimating Quantiles of Two Exponential Populations with a Common Location Parameter Using Censored Samples

被引：0

作者：

Adarsha Kumar Jena

Manas Ranjan Tripathy

机构：

[1] National Institute of Technology Rourkela,Department of Mathematics

来源：

Journal of Statistical Theory and Applications | 2018年 / 17卷 / 1期

关键词：

Brewster-Zidek technique; Equivariant estimators; Inadmissibility; Quadratic loss function; Quan-tile estimation; Relative risk performances; Type-II censoring; 62F10; 62C15; 62N02;

D O I：

10.2991/jsta.2018.17.1.10

中图分类号：

学科分类号：

摘要：

Estimation of quantiles of two exponential populations is considered assuming equality of location parameters using censored samples from a decision theoretic point of view. Sufficient conditions for inadmissibility of estimators in certain classes have been derived. Consequently some complete class results as well as estimators dominating the MLE and the UMVUE are obtained. Finally all the proposed estimators have been numerically compared and recommended for use.

引用

页码：136 / 145

页数：9

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