Introduction to Probability Models
By- Sheldon Ross, University of Southern California, Los Angeles, USA
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.
Ancillary list:- Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886
- Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862#42
- Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862
Audience
Professionals and students in actuarial science, engineering, operations research, and other fields in applied probability.
Hardbound, 800 Pages
Published: December 2009
Imprint: Academic Press
ISBN: 978-0-12-375686-2
Contents
- 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
Index
