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Bayesian Estimations in Insurance Theory and Practice

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F12%3A39894992" target="_blank" >RIV/00216275:25410/12:39894992 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bayesian Estimations in Insurance Theory and Practice

  • Original language description

    This paper explains the Bayesian version of estimation as a method for calculating credibility premium or credibility number of claims for short-term insurance contracts using two ingredients: past data on the risk itself and collateral data from other sources considered to be relevant. The Poisson/gamma model to estimate the claim frequency for portfolio of policies and Normal/normal model to estimate the pure premium are explained and applied.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Mathematical and Computational Methods: proceedings of the 14th WSEAS International Conference on Mathematical and Computational methods in Science and Engeneering

  • ISBN

    978-1-61804-117-3

  • ISSN

    2227-4588

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    127-131

  • Publisher name

    WSEAS Press

  • Place of publication

    Stevens Point

  • Event location

    Sliema

  • Event date

    Sep 7, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article