Ship-Ship-Hooray! Free Shipping on $25+ Details >

by Sheldon Ross

Edition: 9TH 07Copyright: 2007

Publisher: Academic Press, Inc.

Published: 2007

International: No

Well, that's no good. Unfortunately, this edition is currently out of stock. Please check back soon.

Available in the Marketplace starting at $14.00

Price | Condition | Seller | Comments |
---|

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.

Preface

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 Appendix: Solutions to Starred

Exercises

Index

shop us with confidence

Summary

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.

Table of Contents

Preface

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 Appendix: Solutions to Starred

Exercises

Index

Publisher Info

Publisher: Academic Press, Inc.

Published: 2007

International: No

Published: 2007

International: No

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 Appendix: Solutions to Starred

Exercises

Index