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سعر ومواصفات Generic Markov Processes (Advances in Applied Mathematics) By Oxford University Press

  • أفضل سعر لـ Generic Markov Processes (Advances in Applied Mathematics) By Oxford University Press by جوميا فى مصر هو 1,216 ج.م.
  • طرق الدفع المتاحة هى
    دفع عند الاستلامبطاقة ائتمانيةالدفع الاليكترونى
  • تكلفة التوصيل هى 15 ج.م., والتوصيل فى خلال 2-5 أيام
  • أول ظهور لهذا المنتج كان فى نوفمبر 14, 2017

المواصفات الفنية

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وصف جوميا

  • Category Type‎:‎ Dictionaries & Thesauruses
  • ISBN‎:‎ 9781482240733
  • Author‎:‎ James R‎.‎ Kirkwood
  • Publisher‎:‎ Oxford University Press
  • Binding‎:‎ Paperback
  • Book Language‎:‎ English
  • Clear‎,‎ rigorous‎,‎ and intuitive‎,‎ Markov Processes provides a bridge from an undergraduate probability course to a course in stochastic processes and also as a reference for those that want to see detailed proofs of the theorems of Markov processes‎.‎ It contains copious computational examples that motivate and illustrate the theorems‎.‎ The text is designed to be understandable to students who have taken an undergraduate probability course without needing an instructor to fill in any gaps‎.‎ The book begins with a review of basic probability‎,‎ then covers the case of finite state‎,‎ discrete time Markov processes‎.‎ Building on this‎,‎ the text deals with the discrete time‎,‎ infinite state case and provides background for continuous Markov processes with exponential random variables and Poisson processes‎.‎ It presents continuous Markov processes which include the basic material of Kolmogorov‎'‎s equations‎,‎ infinitesimal generators‎,‎ and explosions‎.‎ The book concludes with coverage of both discrete and continuous reversible Markov chains‎.‎ While Markov processes are touched on in probability courses‎,‎ this book offers the opportunity to concentrate on the topic when additional study is required‎.‎
  • It discusses how Markov processes are applied in a number of fields‎,‎ including economics‎,‎ physics‎,‎ and mathematical biology‎.‎ The book fills the gap between a calculus based probability course‎,‎ normally taken as an upper level undergraduate course‎,‎ and a course in stochastic processes‎,‎ which is typically a graduate course‎.‎

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