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Herausgeber: 
  • Vladik Kreinovich
  • Van-Nam Huynh
  • Songsak Sriboonchitta
  • Modeling Dependence in Econometrics 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / C / Computational Intelligence / Econometrics / Econometrics & economic statistics / engineering / Ökonometrie und Wirtschaftsstatistik
    ISBN:  9783319033945 
    EAN-Code: 
    9783319033945 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #251 - Advances in Intelligent Systems and Computing  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  8891 gr 
    Seiten:  575 
    Illustration:  XX, 575 p. 75 illus., 45 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear
    functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such inadequate treatment of dependence for the 2008 financial crisis.

    To make economic models more adequate, we need more accurate techniques for describing dependence. Such techniques are currently being developed. This book contains description of state-of-the-art techniques for modeling dependence and economic applications of
    these techniques. Most of these research developments are centered around the notion of a copula - a general way of describing dependence in probability theory and statistics. To be even more adequate, many papers go beyond traditional copula techniques and
    take into account, e.g., the dynamical (changing) character of the dependence in economics.

      



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