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| INTRODUCTION TO PROBABILITY MODELS
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To order this title, and for more information, click here
Ninth Edition
By
Sheldon Ross, University of Southern California, Los Angeles, USA
Description
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 probability theory can be applied to the study of phenomena in fields such as engineering, computer
science, management science, the physical and social sciences, and operations research. With the addition of several new sections relating
to actuaries, this text is highly recommended by the Society of Actuaries.
Audience
Professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
Contents
Preface
1. Introduction to Probability Theory;
2. Random Variables
3. Conditional Probability and Conditional Expectation
4. Markov Chains
5. The Exponential Distribution and the Poisson Process
6. Continuous-Time Markov Chains
7. Renewal Theory and Its Applications
8. Queueing
Theory
9. Reliability Theory
10. Brownian Motion and Stationary Processes
11. Simulation
Appendix: Solutions to Starred Exercises
Index
| Bibliographic details |
Hardbound, 800 pages, publication date: NOV-2006
ISBN-13: 978-0-12-598062-3
ISBN-10: 0-12-598062-0
Imprint: ACADEMIC PRESS
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050/775
Last update: 20 Oct 2009
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