Bayesian Estimation of the Mean of Exponential Distribution Using Moving Extremes Ranked Set Sampling

被引：1

作者：

Al-Hadhrami, Said Ali ^{[1
]}

Al-Omari, Amer Ibrahim ^{[2
]}

机构：

[1] Coll Appl Sci, Dept Math, Nizwa, Oman

[2] Al Al Bayt Univ, Fac Sci, Dept Math, Mafraq, Jordan

来源：

JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2014年 / 17卷 / 04期

关键词：

Bayesian estimation; moving extremes ranked set sampling; conjugate prior; Jeffery prior; vague prior; risk function;

D O I：

10.1080/09720510.2014.943089

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, Bayesian estimation for the mean of exponential distribution is considered using moving extremes ranked set sampling (MERSS). Three priors are used; Jeffery, conjugate and constant using MERSS and simple random sampling (SRS) methods. Properties of the suggested estimators are investigated under SRS and MERSS. It is found that the suggested estimators using MERSS are more efficient than their counterparts based on SRS for all cases considered in this study.

引用

页码：365 / 379

页数：15

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