Some composite models and their application to turkish motor insurance data

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dc.contributor.authorYıgıter, Ayten
dc.contributor.authorGençtürk, Yasemin
dc.contributor.authorHamurkaroglu, Canan
dc.date.accessioned2024-09-29T16:29:28Z
dc.date.available2024-09-29T16:29:28Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIt is important for an insurance company to predict the future claims in order to evaluate premiums, to determine the reservenecessary to meet its obligation and probabilities of ruin, etc. as the claim data is highly positively skewed and has heavy tail,no standard parametric model seems to provide an acceptable fit to both small and large losses. Composite models that use onestandard distribution up to a threshold and other standard distribution thereafter are developed and it is seen that these compositemodels provide better fit than the standard models when claim data involve small and high claims.The aim of this study is to investigate the use of the composite models namely Exponential-Pareto, Weibull-Pareto andLognormal-Pareto to model the Turkish Motor Insurance claim data. From the results obtained, it is concluded that thecomposite Weibull-Pareto model provides better fit to Turkish Motor Insurance claim data than the all other models considered.en_US
dc.identifier.doi10.20290/estubtdb.609469
dc.identifier.endpage132en_US
dc.identifier.issue2en_US
dc.identifier.startpage121en_US
dc.identifier.trdizinid389954en_US
dc.identifier.urihttps://doi.org/10.20290/estubtdb.609469
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/389954
dc.identifier.urihttps://hdl.handle.net/20.500.14619/10522
dc.identifier.volume7en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofEskişehir Teknik Üniversitesi Bilim ve Teknoloji Dergisi b- Teorik Bilimleren_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleSome composite models and their application to turkish motor insurance dataen_US
dc.typeArticleen_US

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