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  • In this article we review credibility regression models. The theory of credibility is a summary of advanced statistical methods used for a calculation and a systematic correction of net premiums. The credibility models are designed for situations where the average claim amount evolves in time or depends on other measurable factors. Methods of regression analysis were first time used in the theory of credibility by Hachemeister. His model (model HM) was adjusted by De Vylder for the purpose of the practical application. The objective of this article is to show alternatives of an application of DV85 model in the accident automobile insurance, i.e. in the mandatory contractual insurance.
  • In this article we review credibility regression models. The theory of credibility is a summary of advanced statistical methods used for a calculation and a systematic correction of net premiums. The credibility models are designed for situations where the average claim amount evolves in time or depends on other measurable factors. Methods of regression analysis were first time used in the theory of credibility by Hachemeister. His model (model HM) was adjusted by De Vylder for the purpose of the practical application. The objective of this article is to show alternatives of an application of DV85 model in the accident automobile insurance, i.e. in the mandatory contractual insurance. (en)
Title
  • The Prediction of Future Claims: a Regression Credibility Approach
  • The Prediction of Future Claims: a Regression Credibility Approach (en)
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  • The Prediction of Future Claims: a Regression Credibility Approach
  • The Prediction of Future Claims: a Regression Credibility Approach (en)
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  • RIV/00216275:25410/05:00003759!RIV10-MSM-25410___
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  • RIV/00216275:25410/05:00003759
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  • credibility regression model; net premium; model HM; model DV85 (en)
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  • [017E63669EA6]
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  • Krakow
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  • Materialy z XXVI. Ogólnopolskiego Seminarium Naukowego
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  • Pacáková, Viera
  • Šoltés, Erik
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  • Akademii ekonomicznej w Krakowie
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  • 83-7252-265-0
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  • 25410
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