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Statistical Modeling Methods in Automobile Insurance

Author

Listed:
  • Elena BURLACU

    (The Academy of Economic Studies of Moldova)

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.

Suggested Citation

  • Elena BURLACU, 2013. "Statistical Modeling Methods in Automobile Insurance," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(4), pages 158-162, December.
    • Handle: RePEc:rsr:supplm:v:61:y:2013:i:4:p:158-162
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    File URL: http://www.revistadestatistica.ro/suplimente/2013/4_2013/srrs4_2013a24.pdf
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    More about this item

    Keywords

    insurance compensations; the amount of insurance; correlation; linear regression;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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