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Forecasting claims in motor vehicle insurance

dc.contributor.authorBerridge, Steffan
dc.date.accessioned2011-04-14T23:36:52Z
dc.date.accessioned2022-10-26T02:31:06Z
dc.date.available2011-04-14T23:36:52Z
dc.date.available2022-10-26T02:31:06Z
dc.date.copyright1998
dc.date.issued1998
dc.description.abstractThe forecasting of claims is central to the successful operation of an insurance company. Based on six years of claim and policy data for full cover car insurance from a major New Zealand insurance company, we set premiums for rating categories using a simple credibility method, a modified credibility method, exponential smoothing and linear regression, then compare these predictions with the actual outcomes.en_NZ
dc.formatpdfen_NZ
dc.identifier.urihttps://ir.wgtn.ac.nz/handle/123456789/24053
dc.languageen_NZ
dc.language.isoen_NZ
dc.publisherTe Herenga Waka—Victoria University of Wellingtonen_NZ
dc.subjectAutomobile insurance
dc.subjectInsurance claims
dc.subjectMathematical models
dc.titleForecasting claims in motor vehicle insuranceen_NZ
dc.typeTexten_NZ
thesis.degree.disciplineStatistics and Operations Researchen_NZ
thesis.degree.grantorTe Herenga Waka—Victoria University of Wellingtonen_NZ
thesis.degree.levelMastersen_NZ
vuwschema.contributor.unitInstitute of Statistics and Operations Researchen_NZ
vuwschema.type.vuwAwarded Research Masters Thesisen_NZ

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