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  • Introduction to Probability Theory and its Applications 3e V 1: Introduction to Probability Theory and its Applications 3e V 1

    Introduction to Probability Theory and its Applications 3e V 1 by Feller, W;

    Introduction to Probability Theory and its Applications 3e V 1

    Series: Wiley Series in Probability and Statistics;

      • GET 10% OFF

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      • Publisher's listprice GBP 246.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        117 980 Ft (112 362 Ft + 5% VAT)
      • Discount 10% (cc. 11 798 Ft off)
      • Discounted price 106 182 Ft (101 126 Ft + 5% VAT)

    117 980 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 3rd Edition
    • Publisher John Wiley & Sons
    • Date of Publication 1 January 1968

    • ISBN 9780471257080
    • Binding Hardback
    • No. of pages528 pages
    • Size 229x152x31 mm
    • Weight 805 g
    • Language English
    • 0

    Categories

    Short description:

    A complete guide to the theory and practical applications of probability theory


    An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real–world application of that theory.

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    Long description:

    A complete guide to the theory and practical applications of probability theoryAn Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.

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