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Autor(en): 
  • Martin L. (University of British Columbia) Puterma
  • Markov Decision Processes: Discrete Stochastic Dynamic Programming 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2005  
    Genre:  Schulbücher 
     
    Bayes-Verfahren / Bayesian Analysis / Bayessches Verfahren / Statistics / Statistik
    ISBN:  9780471727828 
    EAN-Code: 
    9780471727828 
    Verlag:  John Wiley & Sons Inc 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Wiley Series in Probability and Statistics  
    Dimensionen:  H 234 mm / B 155 mm / D 32 mm 
    Gewicht:  1006 gr 
    Seiten:  684 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential." -Zentralblatt fur Mathematik ". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes." -Journal of the American Statistical Association

      
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