Estimation of Stress-Strength Parameter of a Parallel System for Exponential Distribution Based on Masked Data
dc.authorid | 0000-0002-0680-948X | en_US |
dc.authorid | 0000-0003-1529-0541 | en_US |
dc.date.accessioned | 2020-12-31T10:38:07Z | |
dc.date.available | 2020-12-31T10:38:07Z | |
dc.date.issued | 2013 | en_US |
dc.department | Selçuk Üniversitesi, Fen Fakültesi, Aktüerya Bölümü | en_US |
dc.description.abstract | In this study,we estimate the stres-strength parameter (R) for a parallel system with two components based on masked data. In particular, we compute the maximum likelihood and Bayes estimates of R. The considered system consists of two independentcomponents having non-identical complementary exponential lifetimedistributions. Also in the numerical simulation study a comparison between Bayes and maximum likelihood estimates is introduced. | en_US |
dc.identifier.citation | Sezer, D., Kinaci, Ismail . (2013).Estimation of Stress-Strength Parameter of a Parallel System for Exponential Distribution Based on Masked Data. Journal of Selcuk University Natural and Applied Science, 2, (3), 60-68. | en_US |
dc.identifier.endpage | 68 | en_US |
dc.identifier.issn | 2147-3781 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.startpage | 60 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/40961 | |
dc.identifier.volume | 2 | en_US |
dc.institutionauthor | Sezer, Demet | |
dc.institutionauthor | Kinaci, Ismail | |
dc.language.iso | tr | en_US |
dc.publisher | Selçuk Üniversitesi | en_US |
dc.relation.ispartof | Journal of Selcuk University Natural and Applied Science | en_US |
dc.relation.publicationcategory | Makale - Ulusal - Editör Denetimli Dergi | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | Stress-strength reliability | en_US |
dc.subject | masked samples | en_US |
dc.subject | parallel system | en_US |
dc.title | Estimation of Stress-Strength Parameter of a Parallel System for Exponential Distribution Based on Masked Data | en_US |
dc.type | Article | en_US |
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