Maximum likelihood estimation and confidence intervals of system reliability for Gompertz distribution in stress-strength models

dc.contributor.authorSaraçoğlu, Buğra
dc.contributor.authorKaya, Mehmet Fedai
dc.date.accessioned2020-03-26T17:16:50Z
dc.date.available2020-03-26T17:16:50Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractA stress-strength model defines life of a component which has strength X and is subjected to stress Y. In this paper, we consider the estimation problem of RP(Y<X) when X Gompertz(c,lambda_1) and Y Gompertz(c,lambda_2) are independent with c known. R can be considered to be the reliability of a system and is known to be stress-strength reliability. The maximum likelihood estimate of R is derived and various distributional properties of this estimator is discussed. Exact and asymptotic confidence intervals for R are constructed. Also a simulation study is performed to investigate the coverage probabilities of these intervals.en_US
dc.identifier.endpage36en_US
dc.identifier.issn1302-7980en_US
dc.identifier.issue2en_US
dc.identifier.startpage25en_US
dc.identifier.urihttp://www.trdizin.gov.tr/publication/paper/detail/TnpReE1UZzQ=
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21107
dc.identifier.volume8en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofTürkiye Klinikleri Psikiyatri Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectMatematiken_US
dc.titleMaximum likelihood estimation and confidence intervals of system reliability for Gompertz distribution in stress-strength modelsen_US
dc.typeArticleen_US

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