Estimation of stress-strength probability in a multicomponent model based on geometric distribution

Home Page
About
Submit A Journal
Submit A Conference
Submit Paper/Book
- Submit a Preprint
- Submit a Book
Contact

Hacettepe Journal of Mathematics and Statistics
Volume:49 Issue:4
Estimation of stress-strength probability in a multicomponent model based on geometric distribution

Estimation of stress-strength probability in a multicomponent model based on geometric distribution

Authors : Milan JOVANOVIĆ, Bojana MİLOŠEVİĆ, Marko OBRADOVİĆ

Pages : 1515-1532

Doi:10.15672/hujms.681608

View : 26 | Download : 11

Publication Date : 2020-08-06

Article Type : Research Paper

Abstract :In this paper, the estimation of the stress-strength probability in a multicomponent model, in the case when all components follow the geometric distribution, is studied. This is the first time that multicomponent models with discrete probability distributions are considered. The MLE, UMVUE and Bayes point estimator, as well as asymptotic and bootstrap confidence intervals are presented. A simulation study is performed in order to compare the performance of various estimators. Finally, the methods are applied to real data examples from climatology and sport.
Keywords : Multicomponent stress strength, reliability, geometric distribution

ORIGINAL ARTICLE URL

VIEW PAPER (PDF)

* There may have been changes in the journal, article,conference, book, preprint etc. informations. Therefore, it would be appropriate to follow the information on the official page of the source. The information here is shared for informational purposes. IAD is not responsible for incorrect or missing information.