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    An Introduction to Stochastic Modeling

    An Introduction to Stochastic Modeling by Pinsky, Mark; Karlin, Samuel;

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      • Publisher's listprice EUR 87.95
      • 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.

        34 353 Ft (32 717 Ft + 5% VAT)
      • Discount 20% (cc. 6 871 Ft off)
      • Discounted price 27 482 Ft (26 174 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    34 353 Ft

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    Product details:

    • Edition number 4
    • Publisher Elsevier Science
    • Date of Publication 13 January 2011

    • ISBN 9780123814166
    • Binding Hardback
    • No. of pages584 pages
    • Size 228x152 mm
    • Weight 900 g
    • Language English
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    Long description:

    Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, Fourth Edition, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.

    New to this edition:

    • Realistic applications from a variety of disciplines integrated throughout the text, including more biological applications
    • Plentiful, completely updated problems
    • Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers
    • New chapters of stochastic differential equations and Brownian motion and related processes
    • Additional sections on Martingale and Poisson process

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    Table of Contents:

    IntroductionConditional Probability and Conditional ExpectationMarkov Chains: IntroductionThe Long Run Behavior of Markov ChainsPoisson ProcessesContinuous Time Markov ChainsRenewal PhenomenaBrownian Motion and Related ProcessesQueueing Systems Random EvolutionsCharacteristic Functions and Their Applications

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