Bayesian estimation;
Constant partially accelerated life tests;
Generalized exponential distribution;
Maximum likelihood estimation;
Monte Carlo simulation;
Progressive Type-II censoring;
FINITE MIXTURE-MODELS;
INTERVAL ESTIMATION;
STRESS;
STEP;
PARAMETERS;
D O I:
10.1080/03610926.2012.687068
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, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.
机构:
King Saud Univ, Coll Sci, Dept Stat & Operat Res, Riyadh 11451, Saudi ArabiaKing Saud Univ, Coll Sci, Dept Stat & Operat Res, Riyadh 11451, Saudi Arabia
机构:
St Anthonys Coll, Dept Stat, Shillong, Meghalaya, IndiaSt Anthonys Coll, Dept Stat, Shillong, Meghalaya, India
Dey, Sanku
Wang, Liang
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h-index: 0
机构:
Yunnan Normal Univ, Sch Math, Kunming, Yunnan, Peoples R China
Xi An Jiao Tong Univ, Sch Math & Stat, Xian, Peoples R ChinaSt Anthonys Coll, Dept Stat, Shillong, Meghalaya, India
Wang, Liang
Nassar, Mazen
论文数: 0引用数: 0
h-index: 0
机构:
King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah, Saudi Arabia
Zagazig Univ, Fac Commerce, Dept Stat, Zagazig, EgyptSt Anthonys Coll, Dept Stat, Shillong, Meghalaya, India