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Description
| - The main aim of the paper is point out on a new approach to statistical modelling of claims severity by using quantile functions. In addition to explain the theoretical principles and present the application of claims severity models that based on quantile function. Claims severity in non-life insurance refers to the monetary loss of an insurance claim and is usually modeled as a non-negative continuous random variable. The conditions under which claims are performed and data are collected allow considering the claims severity to be samples from specific heavy-tailed probability distribution. Probability models of claims severity creates the basis for solving of many substantial problems in non-life insurance company. To find the models based on empirical data can be used several methods such as goodness of fit tests, kernel densities, composition distributions or mixture distributions. In this regard, quantile methods provide an appropriate and flexible approach to the probability modelling needed to obtain well-fitted tails. By using this approach, it has been confirmed the advantages of quantile models and their usefulness for non-life insurance practice.
- The main aim of the paper is point out on a new approach to statistical modelling of claims severity by using quantile functions. In addition to explain the theoretical principles and present the application of claims severity models that based on quantile function. Claims severity in non-life insurance refers to the monetary loss of an insurance claim and is usually modeled as a non-negative continuous random variable. The conditions under which claims are performed and data are collected allow considering the claims severity to be samples from specific heavy-tailed probability distribution. Probability models of claims severity creates the basis for solving of many substantial problems in non-life insurance company. To find the models based on empirical data can be used several methods such as goodness of fit tests, kernel densities, composition distributions or mixture distributions. In this regard, quantile methods provide an appropriate and flexible approach to the probability modelling needed to obtain well-fitted tails. By using this approach, it has been confirmed the advantages of quantile models and their usefulness for non-life insurance practice. (en)
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Title
| - Statistical Tools for Modeling Claim Severity
- Statistical Tools for Modeling Claim Severity (en)
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skos:prefLabel
| - Statistical Tools for Modeling Claim Severity
- Statistical Tools for Modeling Claim Severity (en)
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skos:notation
| - RIV/00216275:25410/14:39898348!RIV15-MSM-25410___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216275:25410/14:39898348
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Pareto distribution; lognormal distribution; quantile function; claims severity model (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the 11th International Scientific Conference European Financial Systems 2014
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Jindrová, Pavla
- Sipková, Lubica
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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