Statistical Modeling Methods in Automobile Insurance
Elena Burlacu
Additional contact information
Elena Burlacu: The Academy of Economic Studies of Moldova
Romanian Statistical Review Supplement, 2013, vol. 61, issue 4, 158-162
Abstract:
This article describes the notions of the statistical indicators of automobile insurance and also presents methods that describe interdependence between them. Statistical calculations - the collection, the pre-processing and the further data analysis is based on certain system of statistical indicators. This system is composed of the indicators, which are supposed to be used in all firms in a given sphere of activity, in our case – these are the insurance companies which operating on the auto insurance market. The interdependence between insurance indicators was analyzed by correlation analysis, multiple regressions and testing the hypothesis of normality and model validation and its coefficients.
Keywords: insurance compensations; the amount of insurance; correlation; linear regression (search for similar items in EconPapers)
JEL-codes: C1 G22 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.revistadestatistica.ro/suplimente/2013/4_2013/srrs4_2013a24.pdf (application/pdf)
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:rsr:supplm:v:61:y:2013:i:4:p:158-162
Access Statistics for this article
More articles in Romanian Statistical Review Supplement from Romanian Statistical Review Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Visoiu ().