BAYESIAN PREDICTION BOUNDS FOR THE BURR TYPE-XII FAILURE MODEL

被引：44

作者：

ALHUSSAINI, EK ^{[1
]}

JAHEEN, ZF ^{[1
]}

机构：

[1] UNIV ASSIUT,DEPT MATH,ASSIUT,EGYPT

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1995年 / 24卷 / 07期

关键词：

BURR TYPE XII DISTRIBUTION; BAYESIAN PREDICTION BOUNDS; ONE SAMPLE; SERIES OF INDEPENDENT SAMPLES;

D O I：

10.1080/03610929508831589

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 [统计学]; 070103 [概率论与数理统计]; 0714 [统计学];

摘要：

In this paper, the problem of predicting the future observations from the Burr type XII distribution, based on the past observations having the same distribution, is considered from a Bayesian approach. One sample and a series of M+1 samples techniques are used in this article based on a bivariate prior density suggested by AL-Hussaini and Jaheen (1992). Numerical examples are used to illustrate the procedures.

引用

页码：1829 / 1842

页数：14

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