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Quantile Models of Losses in Motor Hull Insurance

Result description

The article describe the variation in claim amounts by finding a loss distribution that adequately describes the claims. Particular attention is paid to the studying of the right tail of the distribution, since it is important to not underestimate the size of large losses. The objective of this paper is to call attention to a new approach to statistical modelling by using quantile functions. Modern computer simulation techniques open up a wide field of practical applications for this method.

Keywords

Lognormal-Pareto DistributionGamma-Pareto Probability ModelQuantile Distribution FunctionsLoss Distribution

The result's identifiers

Alternative languages

  • Result language

    slovinština

  • Original language name

    Kvantilové modely výšky škod v poistení motorových vozidiel

  • Original language description

    Článok popisuje variabilitu výšky poistných škôd pomocou teoretického rozdelenia s dobrou zhodou s empirickým rozdelením. Osobitná pozornosť je venovaná modelovaniu horného konca rozdelenia, pretože je pre poisťovňu dôležité nepodhodnotiť veľké poistné plnenia. Cieľom je prezentovať nový prístup k štatistickému modelovaniu pomocou kvantilovej funkcie. Moderné výpočtové simulačné metódy otvárajú široké možnosti pre praktickú aplikáciu tejto metódy.

  • Czech name

  • Czech description

Classification

  • Type

    Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Forum Statisticum Slovacum

  • ISSN

    1336-7420

  • e-ISSN

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    5/2010

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    6

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database

Basic information

Result type

Jx - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

Jx

CEP

BB - Applied statistics, operational research

Year of implementation

2010