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Autor(en): 
  • Yuliya Mishura
  • Dmytro Gusak
  • Alexander Kukush
  • Alexey Kulik
  • Andrey Pilipenko
  • Theory of Stochastic Processes: With Applications to Financial Mathematics and Risk Theory 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2009  
    Genre:  Schulbücher 
     
    Actuarial Mathematics / Actuarial science / Actuarial Sciences / B / Business Mathematics / Business mathematics & systems / Economics, finance, business & management / Insurance & actuarial studies
    ISBN:  9780387878614 
    EAN-Code: 
    9780387878614 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Problem Books in Mathematics  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1590 gr 
    Seiten:  376 
    Illustration:  XII, 376 p. 8 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    This book is a collection of exercises covering all the main topics in the modern theory of stochastic processes and its applications, including finance, actuarial mathematics, queuing theory, and risk theory.

     

    The aim of this book is to provide the reader with the theoretical and practical material necessary for deeper understanding of the main topics in the theory of stochastic processes and its related fields.

     

    The book is divided into chapters according to the various topics. Each chapter contains problems, hints, solutions, as well as a self-contained theoretical part which gives all the necessary material for solving the problems. References to the literature are also given.

     

    The exercises have various levels of complexity and vary from simple ones, useful for students studying basic notions and technique, to very advanced ones that reveal some important theoretical facts and constructions.

     

    This book is one of the largest collections of problems in the theory of stochastic processes and its applications. The problems in this book can be useful for undergraduate and graduate students, as well as for specialists in the theory of stochastic processes.

      



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