Estimation of the stress-strength parameter under two-sample balanced progressive censoring scheme

Basit Öğe Kaydı
dc.authoridCETINKAYA, Cagatay/0000-0001-8010-4261
dc.contributor.authorSultana, Farha
dc.contributor.authorCetinkaya, Cagatay
dc.contributor.authorKundu, Debasis
dc.date.accessioned2025-01-21T16:40:35Z
dc.date.available2025-01-21T16:40:35Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIn this paper, we obtain the stress-strength reliability estimation under balanced joint Type-II progressive censoring scheme for independent samples from two different populations. We simultaneously place two independent samples where the experimental units follow Weibull distributions with common shape parameter beta and different scale parameters alpha, lambda, respectively. The maximum likelihood estimators of the unknown parameters are derived. Further, the Bayesian inference is considered using Lindley's approximation and Gibbs sampling method. Extensive simulations are performed to see the effectiveness of the proposed estimation methods. Further, we derive the optimal censoring scheme in the Bayesian framework by using the variable neighbourhood search method proposed by [Bhattacharya et al. On optimum life-testing plans under type-ii progressive censoring scheme using variable neighbourhood search algorithm. Test. 2016;25(2):309-330]. Further, some simulation schemes are provided to compare the performances of the estimations under the jointly censored samples versus two separate censored samples.
dc.identifier.doi10.1080/00949655.2023.2282743
dc.identifier.endpage1299
dc.identifier.issn0094-9655
dc.identifier.issn1563-5163
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85178390432
dc.identifier.scopusqualityQ2
dc.identifier.startpage1269
dc.identifier.urihttps://doi.org/10.1080/00949655.2023.2282743
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24711
dc.identifier.volume94
dc.identifier.wosWOS:001111586400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of Statistical Computation and Simulation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectBayesian inference; joint censoring scheme; maximum likelihood; optimal censoring scheme; stress-strength reliability; Weibull distribution
dc.titleEstimation of the stress-strength parameter under two-sample balanced progressive censoring scheme
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu