Bayesian Prediction Intervals for Future Order Statistics from the Generalized Exponential Distribution

被引：0

作者：

Alamm, Ahmad A. ^{[1
]}

Raqab, Mohammad Z. ^{[1
]}

Madi, Mohamed T. ^{[2
]}

机构：

[1] Univ Jordan, Dept Math, Amman 11942, Jordan

[2] UAE Univ, Dept Stat, Al Ain, U Arab Emirates

来源：

JIRSS-JOURNAL OF THE IRANIAN STATISTICAL SOCIETY | 2007年 / 6卷 / 01期

关键词：

D O I：

暂无

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：

Let X-1, X-2,...,X-r be the first r order statistics from a sample of size n from the generalized exponential distribution with shape parameter theta. In this paper, we consider a Bayesian approach to predicting future order statistics based on the observed ordered data. The predictive densities are obtained and used to determine prediction intervals for unobserved order statistics for one-sample and two-sample prediction plans. A numerical study is conducted to illustrate the prediction procedures.

引用

页码：17 / 30

页数：14

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