Credibility models for permanently updated estimates in insurance

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F13%3A39896583" target="_blank" >RIV/00216275:25410/13:39896583 - isvavai.cz</a>

Result on the web

<a href="http://www.naun.org/cms.action?id=5358" target="_blank" >http://www.naun.org/cms.action?id=5358</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Credibility models for permanently updated estimates in insurance

Original language description

The article explains the possibilities of permanently updated estimates in insurance theory and practice and presents several examples of the derivation of the posterior distribution for certain estimation situations with given prior distributions. Article investigates the Bayesian estimators of the parameters of binomial, Poisson and normal distribution using quadratic loss function. The choice of the prior distribution specifies the models binomial/beta, Poisson/gamma and normal/normal. In insurance practice these models allow us permanently updated estimates of binomial probability, of the credibility premium, or credibility number of claims for short-term insurance contracts. The possibility to express the Bayesian estimators in the form of credibility formulas allows easy application of these models in insurance practice.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

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

Name of the periodical

International Journal of Mathematical Models and Methods in Applied Sciences

ISSN

1998-0140

e-ISSN

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Volume of the periodical

7

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

333-340

UT code for WoS article

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EID of the result in the Scopus database

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