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  • The concept of mixture distributions is an important one in insurance, since insurance companies generally deal with heterogeneous risks. It will be convenient for us to show how mixture distributions can be applied to claim numbers and to claim amounts modelling. The motor compulsory third party liability insurance is an important branch of non-life insurance in many countries; therefore application of the theoretical results is performed on data from this field. Mixture distributions in insurance practice we use as the probability distributions of the two important variables. These are the number of claims N or claim amounts X in heterogeneous portfolios of insurance policies.
  • The concept of mixture distributions is an important one in insurance, since insurance companies generally deal with heterogeneous risks. It will be convenient for us to show how mixture distributions can be applied to claim numbers and to claim amounts modelling. The motor compulsory third party liability insurance is an important branch of non-life insurance in many countries; therefore application of the theoretical results is performed on data from this field. Mixture distributions in insurance practice we use as the probability distributions of the two important variables. These are the number of claims N or claim amounts X in heterogeneous portfolios of insurance policies. (en)
Title
  • Mixture Distributions in Modelling of Insurance Losses
  • Mixture Distributions in Modelling of Insurance Losses (en)
skos:prefLabel
  • Mixture Distributions in Modelling of Insurance Losses
  • Mixture Distributions in Modelling of Insurance Losses (en)
skos:notation
  • RIV/00216275:25410/13:39896766!RIV14-MSM-25410___
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  • 88590
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  • RIV/00216275:25410/13:39896766
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  • Pareto distribution.; negative binomial distribution; heterogeneous portfolio of policies; Mixture distributions (en)
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  • [3C13C48BC8C2]
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  • Recent Advances in Applied Mathematics and Computational Methods in Engineering
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  • Pacáková, Viera
  • Zapletal, David
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issn
  • 2227-4588
number of pages
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  • WSEAS Press
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  • 978-1-61804-200-2
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  • 25410
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