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An introduction to stochastic modeling / Mark A. Pinsky, Samuel Karlin

By: Contributor(s): Material type: TextPublication details: London: Elsevier, 2011.Edition: 4th edDescription: x, 563 p.: illISBN:
  • 978023814166
LOC classification:
  • QA274.2.P65
Contents:
Contents: Introduction -- Conditional Probability and Conditional Expectation -- Markov Chains: Introduction -- The Long Run Behavior of Markov Chains -- Poisson Processes -- Continuous Time Markov Chains -- Renewal Phenomena -- Brownian Motion and Related Processes -- Queuing Systems -- Random Evolutions -- Characteristic Functions and Their Applications
Summary: Introduces students to the standard concepts and methods of stochastic modeling, to illustrate the diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY QA274.2.P65(4e) (Browse shelf(Opens below)) Available K/2631/2631/19

Includes index.

Contents: Introduction -- Conditional Probability and Conditional Expectation -- Markov Chains: Introduction -- The Long Run Behavior of Markov Chains -- Poisson Processes -- Continuous Time Markov Chains -- Renewal Phenomena -- Brownian Motion and Related Processes -- Queuing Systems -- Random Evolutions -- Characteristic Functions and Their Applications

Introduces students to the standard concepts and methods of stochastic modeling, to illustrate the diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems.

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