Introduction to Probability Models

by Sheldon M. Ross

Overview

*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.

Product Details

ISBN-13:	9780443187612
Publisher:	Elsevier Science
Publication date:	07/05/2023
Edition description:	13th ed.
Pages:	870
Product dimensions:	6.00(w) x 9.00(h) x (d)

About the Author

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his PhD in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

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

What People are Saying About This

From the Publisher

Ross's bestseller—now updated with new material for actuarial exams and current applications in engineering, science, business, and economics

Editorial Reviews

Praise from Reviewers:“I think Ross has done an admirable job of covering the breadth of applied probability. Ross writes fantastic problems which really force the students to think divergently...The examples, like the exercises are great.”- Matt Carlton, California Polytechnic Institute“This is a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book."- Jean LeMaire, University of Pennsylvania“This book may be a model in the organization of the education process. I would definitely rate this text to be the best probability models book at its level of difficulty...far more sophisticated and deliberate than its competitors.”- Kris Ostaszewski, University of Illinois

From the Publisher