Introduction to Probability Models - Edition 13 - By Sheldon M. Ross Elsevier Inspection Copies

Introduction to Probability Models

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Introduction to Probability Models,

Edition 13

By Sheldon M. Ross

Publication Date: 05 Jul 2023

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*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

ISBN: 9780443187612

Page Count: 870

Retail Price : £90.95

9781138044487; 9781118740651

Instructor Resources

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Instructor’s_Manual.pdf

Undergraduate students of all backgrounds in introduction to probability modelling courses, typically in Math or Statistics departments

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