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Loss Function in Acturial Science and Estimation

dc.contributor.authorZulaihat, Hassan
dc.date.accessioned2020-01-30T12:32:51Z
dc.date.available2020-01-30T12:32:51Z
dc.date.issued2019-06-23
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/123456789/4953
dc.description.abstractThe non-life insurance pricing consists of establishing a premium or a tariff paid by the insured to the insurance company in exchange for the risk transfer. A key factor in doing that is properly estimating the distribution that the claim and frequency of claim follows. This thesis aim at having a deep knowledge of loss function and their estimation, several concept from Measure Theory, Probability Theory and Statistics were combined in the study of loss function and estimating them is illustrated using insurance data set distributed by the Data Sciences website https://www.kaggle.com. The software R is used to obtained our results.en_US
dc.description.sponsorshipAUST and AfDB.en_US
dc.language.isoenen_US
dc.subjectZuilahat Hassanen_US
dc.subject2019 Pure and Applied Mathematics Thesesen_US
dc.subjectProf. Gane Samb Loen_US
dc.subjectLoss Fuctionen_US
dc.subjectInsurance claimen_US
dc.subjectPremiumen_US
dc.titleLoss Function in Acturial Science and Estimationen_US
dc.typeThesisen_US


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