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Sensitivity Assessment and Comparison of Maxima Methods in the Estimation of Extremal Index

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F17%3APU125887" target="_blank" >RIV/00216305:26110/17:PU125887 - isvavai.cz</a>

  • Result on the web

    <a href="http://mitav.unob.cz/data/MITAV%202017%20Proceedings.pdf" target="_blank" >http://mitav.unob.cz/data/MITAV%202017%20Proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Sensitivity Assessment and Comparison of Maxima Methods in the Estimation of Extremal Index

  • Original language description

    Extremal index is the primary measure of local dependence of extreme values and plays important role in extreme value estimation for stationary processes. The maxima estimators are often preferred in practical situations. These estimators, based on properties of the block maxima, are asymptotically characterized by the Generalized extreme value distribution. In contrast to other methods, the maxima estimators gain advantage in stability to the choice of auxiliary parameters. Still the main part of the maxima methods is selection of a proper approximation to the marginal distribution of the underlying process. Although the suitability of the approximation may significantly affect the estimation quality, to the effect of available approaches has not been paid a great interest in the literature. The aim of this contribution is the comparison of available sampling schemes and the assessment of sensitivity of existing maxima estimates of the extremal index.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MITAV 2017, Post-Conference Proceedings of Extended Versions of Selected Papers

  • ISBN

    978-80-7582-026-6

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    110-120

  • Publisher name

    University of Defence

  • Place of publication

    Brno, Czech Republic

  • Event location

    Brno

  • Event date

    Jun 15, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000576896800012