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Autor(en): 
  • Crispin Gardiner
  • Stochastic Methods: A Handbook for the Natural and Social Sciences 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    C / Complex systems / Dynamical systems / Dynamics & statics / Economic Theory / Economic theory & philosophy / Economic Theory/Quantitative Economics/Mathematical Methods / Optical physics / Physical Chemistry / Physics and Astronomy / Probabilities / Probability & statistics / Probability Theory / Probability Theory and Stochastic Processes / Quantitative Economics / Quantum Optics / Quantum physics (quantum mechanics & quantum field theory) / Statistical physics / Statistical Physics and Dynamical Systems / Stochastics / Theoretical, Mathematical and Computational Physics
    ISBN:  9783642089626 
    EAN-Code: 
    9783642089626 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 25 mm 
    Gewicht:  712 gr 
    Seiten:  447 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This fourth edition of Stochastic Methods is thoroughly revised and augmented, and has been completely reset. While keeping to the spirit of the book I wrote originally, I have reorganised the chapters of Fokker-Planck equations and those on appr- imation methods, and introduced new material on the white noise limit of driven stochastic systems, and on applications and validity of simulation methods based on the Poisson representation. Further, in response to the revolution in ?nancial m- kets following from the discovery by Fischer Black and Myron Scholes of a reliable option pricing formula, I have written a chapter on the application of stochastic me- ods to ?nancial markets. In doing this, I have not restricted myself to the geometric Brownian motion model, but have also attempted to give some ?avour of the kinds of methods used to take account of the realities of ?nancial markets. This means that I have also given a treatment of Levy ¿ processes and their applications to ?nance, since these are central to most current thinking. Since this book was written the rigorous mathematical formulation of stochastic processes has developed considerably, most particularly towards greater precision and generality, and this has been re?ected in the way the subject is presented in m- ern applications, particularly in ?nance.

      
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