Bayesian prediction for progressively censored data from the Burr model

被引：38

作者：

Mousa, MAMA ^{[1
]}

Jaheen, ZF ^{[1
]}

机构：

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

来源：

STATISTICAL PAPERS | 2002年 / 43卷 / 04期

关键词：

Burr XII distribution; progressive type-II censoring; Bayesian approach; two samples prediction;

D O I：

10.1007/s00362-002-0126-7

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：

The two-parameter Burr type XII distribution is proposed to be the underlying model from which observables are to be predicted by using Bayesian approach. Progressively type-II censored data from the Burr distribution are considered and the two samples prediction technique is used. A numerical example is given to illustrate the performance of the procedures.

引用

页码：587 / 593

页数：7

共 16 条

[1] Recurrence relations for single and product moments of progressive type-II right censored order statistics from exponential and truncated exponential distributions [J].