Prediction of future failures times based on Type-I hybrid censored samples of random sample sizes

被引：8

作者：

Valiollahi, R. ^{[1
]}

Asgharzadeh, A. ^{[2
]}

Raqab, M. Z. ^{[3
,4
,5
]}

机构：

[1] Semnan Univ, Dept Math Stat & Comp Sci, Semnan, Iran

[2] Univ Mazandaran, Fac Math Sci, Dept Stat, POB 47416-1407, Babol Sar, Iran

[3] Kuwait Univ, Dept Stat & OR, Safat, Kuwait

[4] King Abdulaziz Univ, Jeddah, Saudi Arabia

[5] Univ Jordan, Dept Math, Amman, Jordan

来源：

COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION | 2019年 / 48卷 / 01期

关键词：

Exponential distribution; Monte Carlo simulation; Order statistics; Prediction; Prediction intervals; Type-I hybrid censoring; EXPONENTIAL-DISTRIBUTION; BAYESIAN PREDICTION; INFERENCE; STATISTICS; PARAMETER; INTERVALS;

D O I：

10.1080/03610918.2017.1375519

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 article, we consider the prediction of future failure times based on Type-I hybrid censored samples. Point predictors and prediction intervals using different procedures are discussed for a general model. The exponential and Rayleigh distributions are used as illustrative examples to show the most simplified forms of the so obtained predictors as well as prediction intervals. Intensive simulation study and a real life dataset are presented to illustrate our findings and results.

引用

页码：109 / 125

页数：17

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