Prediction of future failures for generalized exponential distribution under Type-I or Type-II hybrid censoring

被引：15
|
作者：
Valiollahi, R. [1 ]
Asgharzadeh, A. [2 ]
Kundu, D. [3 ]
机构：
[1] Semnan Univ, Dept Math Stat & Comp Sci, Semnan, Iran
[2] Univ Mazandaran, Fac Math Sci, Dept Stat, Babol Sar, Iran
[3] Indian Inst Technol, Dept Math & Stat, Kanpur, Uttar Pradesh, India
来源：
BRAZILIAN JOURNAL OF PROBABILITY AND STATISTICS | 2017年 / 31卷 / 01期
关键词：
Type-I hybrid censoring; Type-II hybrid censoring; generalized exponential distribution; predictor; prediction interval; Monte Carlo simulation; STATISTICS; PARAMETER; INFERENCE;
D O I：
10.1214/15-BJPS302
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 paper, we consider the prediction of a future observation based on either Type-I or Type-II hybrid censored samples when the lifetime distribution of the experimental units is assumed to be a generalized exponential random variable. Different point and interval predictors are obtained using classical and Bayesian approaches. Monte Carlo simulations are performed to compare the performances of the different methods, and the analysis of one data set has been presented for illustrative purposes.
引用
收藏
页码：41 / 61
页数：21
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