Fitting standard claims by Generalized Linear Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901893" target="_blank" >RIV/00216275:25410/16:39901893 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Fitting standard claims by Generalized Linear Models
Original language description
This article deals with the issue of creating homogenous tariff classes of non-life insurance and modelling the cost of standard claims of each tariff class. We use a Generalized Linear Models (GLM) for the purpose of finding significant risk factors and also to determine the cost of standard claims of the individual tariff classes. The theoretical part will be completed by application on a typical heterogeneous portfolio of the Motor Third Party Liability (MTPL). All calculations were performed using the R software. The result of the GLM is a multiplicative model where the cost of standard claim of a particular tariff class is given as a product of the cost of standard claim of the reference class and the relativities of the tariff class.
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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Managing and Modelling of Financial Risks : 8th International Scientific Conference
ISBN
—
ISSN
2464-6970
e-ISSN
—
Number of pages
8
Pages from-to
227-234
Publisher name
Vysoká škola báňská-Technická univerzita Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Sep 5, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—