Notes on Robust Testing for Normality in Insurance Science
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F15%3A43906563" target="_blank" >RIV/62156489:43110/15:43906563 - isvavai.cz</a>
Result on the web
<a href="https://www.fundacionmapfre.org/documentacion/publico/i18n/catalogo_imagenes/grupo.cmd?path=1083273" target="_blank" >https://www.fundacionmapfre.org/documentacion/publico/i18n/catalogo_imagenes/grupo.cmd?path=1083273</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Notes on Robust Testing for Normality in Insurance Science
Original language description
Insurance science is known as the discipline that applies mathematical and statistical methods. Within those, fitting of claims distribution is a very interesting and important issue. As it is generally known, the claim amounts to the insurance company can be usually described by several continuous non-negative random variables. Moreover, most insurance data is skewed to the right and therefore such probability distributions as exponential, log-normal, Weibull, Pareto, gamma and Burr distributions are usually used. The normal distribution is also important distribution used in insurance and risk management since it usually appears like limiting distribution in many cases. Similarly, many stochastic actuarial models, classical statistical tests and confidence intervals, widely used in insurance, require that the data has been generated by a normal distribution. Thus, the aim of this contribution is to present and discuss some interesting results of robust testing for normality with appl
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Current Topics on Risk Analysis: ICRA6 and RISK 2015 Conference
ISBN
978-84-9844-496-4
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
749-756
Publisher name
Fundación Mapfre
Place of publication
Madrid
Event location
Barcelona
Event date
May 26, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—