On the fuzzy reliability estimation for lomax distribution

dc.contributor.authorAl-Noor, Nadia Hashim
dc.date.accessioned2024-07-12T20:48:04Z
dc.date.available2024-07-12T20:48:04Z
dc.date.issued2019en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractThis paper considers two procedures to estimate the fuzzy reliability for Lomax distribution. The first procedure depends on fuzzy reliability definition that uses the composite trapezoidal rule to find the numerical integration, and the second is the Bayesian procedure, which includes different cases depends on sample data and hyper-parameters of a prior gamma distribution with symmetric and asymmetric loss functions.en_US
dc.identifier.endpage191en_US
dc.identifier.isbn978-605-2124-29-1
dc.identifier.startpage190en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2089
dc.institutionauthorAl-Noor, Nadia Hashim
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciences (ICMS 2019)en_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY01451
dc.subjectFuzzy reliabilityen_US
dc.subjectLomax distributionen_US
dc.subjectGamma distributionen_US
dc.subjectComposite trapezoidal ruleen_US
dc.titleOn the fuzzy reliability estimation for lomax distributionen_US
dc.typeArticle
dspace.entity.typePublication

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