
Markov Chains
Gibbs Fields, Monte Carlo Simulation, and Queues
Pierre Bremaud(Author)
Springer (Publisher)
1st Edition
Published on 1. December 2010
Book
Paperback/Softback
XVIII, 445 pages
978-1-4419-3131-3 (ISBN)
Article exhausted; check for reprint
Description
Primarily an introduction to the theory of stochastic processes at the undergraduate or beginning graduate level, the primary objective of this book is to initiate students in the art of stochastic modelling. However it is motivated by significant applications and progressively brings the student to the borders of contemporary research. Examples are from a wide range of domains, including operations research and electrical engineering. Researchers and students in these areas as well as in physics, biology and the social sciences will find this book of interest.
More details
Product info
Previously published in hardcover
Series
Band 31
Edition
1st ed. 1999. Corr. 2nd printing. Softcover version of original hardcover edition 1999
Language
English
Place of publication
New York, NY
United States
Target group
Lower undergraduate
Product notice
Paperback (trade)
Illustrations
3
3 s/w Abbildungen
3 black & white illustrations, biography
Dimensions
Height: 240 mm
Width: 160 mm
Thickness: 24 mm
Weight
733 gr
ISBN-13
978-1-4419-3131-3 (9781441931313)
DOI
10.1007/978-1-4757-3124-8
Schweitzer Classification
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Content
Preface * 1 Probability Review * 2 Discrete Time Markov Models * 3 Recurrence and Ergodicity * 4 Long Run Behavior * 5 Lyapunov Functions and Martingales * 6 Eigenvalues and Nonhomogeneous Markov Chains * 7 Gibbs Fields and Monte Carlo Simulation * 8 Continuous-Time Markov Models 9 Poisson Calculus and Queues * Appendix * Bibliography * Author Index * Subject Index