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Modelling the Number of Road Accidents

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F17%3A00051353" target="_blank" >RIV/61384399:31140/17:00051353 - isvavai.cz</a>

  • Result on the web

    <a href="http://amse.ue.wroc.pl/papers/2017/Prochazka_Flimmel_Camaj_Basta.pdf" target="_blank" >http://amse.ue.wroc.pl/papers/2017/Prochazka_Flimmel_Camaj_Basta.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15611/amse.2017.20.29" target="_blank" >10.15611/amse.2017.20.29</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling the Number of Road Accidents

  • Original language description

    Main topics of the document: road accidents; long seasonality modeling; multiple seasonality

  • 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

    Applications of Mathematics and Statistics in Economics (AMSE 2017)

  • ISBN

    978-83-7695-693-0

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    355-364

  • Publisher name

    Publishing House of Wrocaw University of Economics

  • Place of publication

    Wroclaw

  • Event location

    Szklarska Poreba

  • Event date

    Aug 30, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article