Introduction to Probability Models,
Edition 13
By Sheldon M. Ross

Publication Date: 05 Jul 2023
Introduction to Probability Models: Thirteenth Edition is available in two manageable volumes: an Elementary edition appropriate for undergraduate use and an Advanced edition for graduate use. Together, and through their hallmark exercises and real examples, both versions offer a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Users will find comprehensive information that introduces them to the foundations of probability modeling and stochastic processes from Random Variables, to Markov Chains and Renewal Theory.

Key Features

  • Awarded the 2020 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association (prior edition)
  • Retains the useful organization that students and professors have relied on since 1972
  • Includes new coverage on Martingales
  • Offers a single source appropriate for a range of courses from undergraduate to graduate level
About the author
By Sheldon M. Ross, Professor, Department of Industrial and Systems Engineering, University of Southern California, Los Angeles, USA
Table of Contents
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
12. Coupling
13. Martingales
Book details
ISBN: 9780443187612
Page Count: 870
Retail Price : £90.95
9781138044487; 9781118740651
Instructor Resources
Undergraduate students of all backgrounds in introduction to probability modelling courses, typically in Math or Statistics departments