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Modelling of extreme losses in natural disasters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39901175" target="_blank" >RIV/00216275:25410/16:39901175 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.naun.org/main/NAUN/ijmmas/2016/a422001-463.pdf" target="_blank" >http://www.naun.org/main/NAUN/ijmmas/2016/a422001-463.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling of extreme losses in natural disasters

  • Original language description

    The aim of this paper is to describe parametric curvefitting methods for modelling extreme historical losses of natural catastrophes in the world. Article summarizes relevant theoretical results Extreme value theory (EVT) and Excess over Threshold Method (EOT) and results of their application to the data about amounts of damages in world catastrophe events in time period 2010- 2014, published by Swiss Re studies Sigma. We aim to develop the models for extreme catastrophic losses by selecting a particular probability distributions through statistical analysis of empirical data with the best possible estimate of the upper tail area.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Mathematical Models and Methods in Applied Sciences

  • ISSN

    1998-0140

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    2016

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    171-178

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84963994565