Inference for reliability in a multicomponent stress-strength model for a unit inverse Weibull distribution under type-II censoring

被引:8
|
作者
Singh, Kundan [1 ]
Mahto, Amulya Kumar [2 ]
Tripathi, Yogesh [1 ,4 ]
Wang, Liang [3 ]
机构
[1] Indian Inst Technol Patna, Dept Math, Bihta, India
[2] Indian Inst Technol Mandi, Sch Math & Stat Sci, Kamand, Himachal Prades, India
[3] Yunnan Normal Univ, Sch Math, Kunming, Peoples R China
[4] Indian Inst Technol Patna, Dept Math, Bihta 801106, India
来源
基金
中国国家自然科学基金;
关键词
Inverse Weibull distribution; Multicomponent stress-strength model; Generalized confidence interval; Maximum likelihood estimation; Generalized pivotal quantity; LESS-THAN X); GOMPERTZ DISTRIBUTION; BAYESIAN-ESTIMATION; PARAMETERS;
D O I
10.1080/16843703.2023.2177811
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a unit inverse Weibull distribution as well as its basic structural properties is proposed. Furthermore, classical inferences for multicomponent reliability are discussed under type-II censoring when stress and strength components have a common parameter. The maximum likelihood estimator of the reliability is obtained and in sequel an asymptotic interval is constructed. Pivotal quantities are constructed and then generalized point and interval estimators are obtained for the reliability. Likelihood and pivotal quantities-based estimations are presented when all parameters are unequal as well. The performance of different estimators is investigated using simulation studies and real-life examples are studied from an application viewpoint. Finally, some concluding remarks are given.
引用
收藏
页码:147 / 176
页数:30
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