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ISBN13: 978-0125980623

ISBN10: 0125980620 Edition: 9TH 07

Copyright: 2007

Publisher: Academic Press, Inc.

Published: 2007

International: No

ISBN10: 0125980620 Edition: 9TH 07

Copyright: 2007

Publisher: Academic Press, Inc.

Published: 2007

International: No

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

ISBN10: 0125980620 Edition: 9TH 07

Copyright: 2007

Publisher: Academic Press, Inc.

Published: 2007

International: No

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

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

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