Bayesian prediction based on type-I censored data from a mixture of Burr type XII distribution and its reciprocal

被引：2

作者：

Ahmad, K. E. ^{[1
]}

Jaheen, Z. F. ^{[1
,2
]}

Mohammed, Heba S. ^{[1
]}

机构：

[1] Assiut Univ, Fac Sci, Dept Math, Assiut 71516, Egypt

[2] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah, Saudi Arabia

来源：

STATISTICS | 2012年 / 46卷 / 06期

关键词：

mixture of Burr type XII and its reciprocal; type-I censoring; one- and two-sample predictions; Markov chain Monte Carlo;

D O I：

10.1080/02331888.2011.555550

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：

This paper is concerned with the problem of obtaining Bayesian prediction bounds of future observables from a finite mixture of Burr type XII distribution with its reciprocal based on type-I censored data. We consider the one-sample and two-sample prediction schemes using the Markov chain Monte Carlo algorithm. Numerical examples are given to illustrate the procedures and the accuracy of prediction intervals is investigated via extensive Monte Carlo simulation.

引用

页码：787 / 797

页数：11

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