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.
机构:
Tianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Tian, Yuzhu
Zhu, Qianqian
论文数: 0引用数: 0
h-index: 0
机构:
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Zhu, Qianqian
Tian, Maozai
论文数: 0引用数: 0
h-index: 0
机构:
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
机构:
Tianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Tian, Yuzhu
Zhu, Qianqian
论文数: 0引用数: 0
h-index: 0
机构:
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China
Zhu, Qianqian
Tian, Maozai
论文数: 0引用数: 0
h-index: 0
机构:
Renmin Univ China, Sch Stat, Beijing 100872, Peoples R ChinaTianshui Normal Univ, Sch Math & Stat, Tianshui 741001, Peoples R China