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Probability and random processes
- Auteur(s) : David Stirzaker , Geoffrey Grimmett
- Editeur : Oxford University Press
-
Nombre de pages : 596 pages
- Date de parution : 01/06/2001
Résumé
The third edition of this well-established and popular
textbook provides a wide-ranging and entertaining
introduction to probability and random processes and many
of their practical applications. The emphasis is on
modelling and understanding rather than abstraction, but
beginners will encounter aspects of more advanced work.
Prerequisites are few, and the book is largely self
contained. Many important random processes are developed in
the text and through informative real-life examples. There
are many exercises and problems, with solutions provided in
the companion volume.
Contents
- 1 Events and their probabilities
- 2 Random variables and their distribution
- 3 Discrete random variables
- 4 Continuous random variables
- 5 Generating functions and their applications
- 6 Markov chains
- 7 Convergence of random variables
- 8 Random processes
- 9 Stationary processes
- 10 Renewals
- 11 Queues
- 12 Martingales
- 13 Diffusion processes
- Appendices
- Bibliography
- List of notation
- Index
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