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| AN INTRODUCTION TO STOCHASTIC MODELING
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To order this title, and for more information, click here
Third Edition
By
Samuel Karlin, Stanford University and The Weizmann Institute of Science
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, Third 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.
Audience
Upper division undergraduate and graduate-level courses in stochastic processes and stochastic modeling, offered in statistics and mathematics departments at all major universities.
Contents
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
Queueing Systems
| Bibliographic details |
Hardbound, 631 pages, publication date: FEB-1998
ISBN-13: 978-0-12-684887-8
ISBN-10: 0-12-684887-4
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
USD 101
EUR 67.95
GBP 61.99
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Last update: 30 Jan 2010
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