Introduction to probability models
Ross's classic bestseller, Introduction to Probability Models, has been used extensively by professionals and as the primary text for a first undergraduate course in applied probability. It provides an introduction to elementary probability theory and stochastic processes, and shows how probabi...
Auteur principal : | |
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Format : | Livre |
Langue : | anglais |
Titre complet : | Introduction to probability models / Sheldon M. Ross |
Édition : | 10th edition |
Publié : |
Amsterdam, [etc.] :
Elsevier
, cop. 2010 Academic Press |
Description matérielle : | 1 vol. (XV-784 p.) |
Sujets : | |
Documents associés : | Autre format:
Introduction to probability models |
- Preface
- Introduction to Probability Theory;
- Random Variables
- Conditional Probability and Conditional Expectation
- Markov Chains
- The Exponential Distribution and the Poisson Process
- Continuous-Time Markov Chains
- Renewal Theory and Its Applications
- Queueing Theory
- Reliability Theory
- Brownian Motion and Stationary Processes
- Simulation
- Appendix: Solutions to Starred Exercises
- Index