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

Publication Date: 05 Jul 2023

*Textbook and Academic Authors Association (TAA) McGuffey Longevity Award Winner, 2024*

A trusted market leader for four decades, Sheldon Ross’s Introduction to Probability Models offers a comprehensive foundation of this key subject with applications across engineering, computer science, management science, the physical and social sciences and operations research. Through its hallmark exercises and real examples, this valuable course text

Introduction to Probability Models provides the reader with a comprehensive course in the subject, from foundations to advanced topics.

Key Features

  • Winner of a 2024 McGuffey Longevity Award (College) (Texty) from the Textbook and Academic Authors Association
  • 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