Reliability analysis for stress-strength model from a general family of truncated distributions under censored data

Under progressive Type-II censoring, inference of stress-strength reliability (SSR) is studied for a general family of lower truncated distributions. When the lifetime models of the strength and stress variables have arbitrary and common parameters, maximum likelihood and pivotal quantities based ge...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Communications in statistics. Theory and methods Ročník 49; číslo 15; s. 3589 - 3608
Hlavní autoři: Wang, Liang, Zuo, Xuanjia, Tripathi, Yogesh Mani, Wang, Junyuan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Philadelphia Taylor & Francis 02.08.2020
Taylor & Francis Ltd
Témata:
bootstrap technique
Computer simulation
Confidence intervals
generalized confidence interval
Likelihood ratio
Lower truncated model
Mathematical models
maximum likelihood estimator
Parameters
pivotal variable
Reliability analysis
Strength
ISSN:0361-0926, 1532-415X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Under progressive Type-II censoring, inference of stress-strength reliability (SSR) is studied for a general family of lower truncated distributions. When the lifetime models of the strength and stress variables have arbitrary and common parameters, maximum likelihood and pivotal quantities based generalized estimators of SSR are established, respectively. Confidence intervals are constructed based on generalized pivotal quantities and bootstrap technique under different parameter cases as well. In addition, to compare the equivalence of the strength and stress parameters, likelihood ratio testing of interested parameters is provided as a complementary. Simulation studies and two real-life data examples are provided to investigate the performance of proposed methods.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2019.1710759