About: Statistical Tools for Modeling Claim Severity     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
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)
Title
  • Statistical Tools for Modeling Claim Severity
  • Statistical Tools for Modeling Claim Severity (en)
skos:prefLabel
  • Statistical Tools for Modeling Claim Severity
  • Statistical Tools for Modeling Claim Severity (en)
skos:notation
  • RIV/00216275:25410/14:39898348!RIV15-MSM-25410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 47352
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/14:39898348
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Pareto distribution; lognormal distribution; quantile function; claims severity model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [040E1B53C7B0]
http://linked.open...v/mistoKonaniAkce
  • Lednice
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 11th International Scientific Conference European Financial Systems 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Jindrová, Pavla
  • Sipková, Lubica
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masarykova univerzita
https://schema.org/isbn
  • 978-80-210-7153-7
http://localhost/t...ganizacniJednotka
  • 25410
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 84 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software