On normality assumptions for claims in insurance
K předpokladům normality pojistných událostí
Milan Stehlík and
Luboš Střelec
Additional contact information
Milan Stehlík: Ústav aplikované statistiky, JKU Linz, Freistädter Straße 315, A-4040 Linz a. D., Rakousko
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2009, vol. 57, issue 3, 141-146
Abstract:
The aim of this paper is to discuss effects of deviations from hypothetized normality. Two models are considered, one is the first pension pillar (and we consider here very small samples, which plays some role at start of some pension system or at early phases of it) and second one of modeling for IBNR (here we consider mid-samples). We will show that at early phases of 1st pension pillar in Slovakia the estimation of upper probability of oversizing of critical constant given by Potocký and Stehlík, 2005, fits well. For the case of IBNR reserves, the date given by Stelljes, 2006, are significantly more skewed and thus further research is needed for appropriate modelling of these reserves.
Keywords: IBNR; pension pillar; classical tests of normality; robust tests of normality; modified tests of normality (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://acta.mendelu.cz/doi/10.11118/actaun200957030141.html (text/html)
http://acta.mendelu.cz/doi/10.11118/actaun200957030141.pdf (application/pdf)
free of charge
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2009057030141
DOI: 10.11118/actaun200957030141
Access Statistics for this article
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis is currently edited by Markéta Havlásková
More articles in Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis from Mendel University Press
Bibliographic data for series maintained by Ivo Andrle ().