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  • The paper is devoted to the examination of impact of selected risk factors on the insured accidence in motor hull insurance in the Czech Republic. In compliance with these risk factors, it is possible to determine the probability of insured accident for each policyholder and also to differentiate the paid insurance premiums which should corresponds to the undertaken risk. Therefore the impact of risk factors on the probability of insured accidence should be determined the most precisely. In this purpose, there are considered many joint variables, for instance volume and performance of engine, age of car, age of policyholder, and others. Firstly, using general univariable logistic regression, the most statistically significant risk factors are identified and it is determined how they affects occurrence of insured accident. It is also verified if the relation between them is linear. In the case of non-linearity identified, the most appropriate fractional polynomial function is obtained in order to improve fitting data. Finally, the non-linear functions are subjected to the stability analysis and the resulted linear and non-linear relations are interpreted.
  • The paper is devoted to the examination of impact of selected risk factors on the insured accidence in motor hull insurance in the Czech Republic. In compliance with these risk factors, it is possible to determine the probability of insured accident for each policyholder and also to differentiate the paid insurance premiums which should corresponds to the undertaken risk. Therefore the impact of risk factors on the probability of insured accidence should be determined the most precisely. In this purpose, there are considered many joint variables, for instance volume and performance of engine, age of car, age of policyholder, and others. Firstly, using general univariable logistic regression, the most statistically significant risk factors are identified and it is determined how they affects occurrence of insured accident. It is also verified if the relation between them is linear. In the case of non-linearity identified, the most appropriate fractional polynomial function is obtained in order to improve fitting data. Finally, the non-linear functions are subjected to the stability analysis and the resulted linear and non-linear relations are interpreted. (en)
Title
  • Fractional polynomials analysis of relation between insured accident and selected risk factors
  • Fractional polynomials analysis of relation between insured accident and selected risk factors (en)
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  • Fractional polynomials analysis of relation between insured accident and selected risk factors
  • Fractional polynomials analysis of relation between insured accident and selected risk factors (en)
skos:notation
  • RIV/61989100:27510/12:86082693!RIV14-GA0-27510___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GPP403/12/P692)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 137112
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  • RIV/61989100:27510/12:86082693
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  • incidence of loss; insured accident; insurance premium; motor hull insurance; stability analysis; fractional polynomial; logit model (en)
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http://linked.open...ontrolniKodProRIV
  • [157832534F63]
http://linked.open...v/mistoKonaniAkce
  • Karviná
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  • Opava
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  • Proceedings of 30th International Conference Mathematical Methods in Economics : 11-13 September 2012, Karviná, Czech Republic
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Valecký, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000316715900164
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Slezská univerzita v Opavě
https://schema.org/isbn
  • 978-80-7248-779-0
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  • 27510
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