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dc.contributor.authorKula, Kamile Şanlı
dc.contributor.authorTank, Fatih
dc.contributor.authorDalkılıç- Erbay, Türkan
dc.date.accessioned12.07.201910:49:13
dc.date.accessioned2019-07-11T21:54:45Z
dc.date.available12.07.201910:49:13
dc.date.available2019-07-11T21:54:45Z
dc.date.issued2012
dc.identifier.issn1300-686X
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TVRJNU9UYzRPQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12513/485
dc.description.abstractIn this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey.en_US
dc.description.abstractIn this study, a fuzzy robust regression method is proposed to construct a model that describes the relation between dependent and independent variables in insurance. Fuzzy robust regression suggested as an alternative to not only ordinary least squares but also classical robust regression. Fuzzy robust regression is finally investigated and discussed by an example with real data arose from a well-known insurance company in Turkey.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMatematiken_US
dc.subjectUygulamalıen_US
dc.subjectMatematiken_US
dc.titleA study on fuzzy robust regression and its application to insuranceen_US
dc.typearticleen_US
dc.relation.journalMathematical and Computational Applicationsen_US
dc.contributor.departmentKırşehir Ahi Evran Üniversitesien_US
dc.identifier.volume17en_US
dc.identifier.issue3en_US
dc.identifier.startpage223en_US
dc.identifier.endpage234en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US]


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