- Hardcover: 800 pages
- Publisher: Academic Press; 10th edition (December 17, 2009)
- Language: English
- ISBN-10: 0123756863
- ISBN-13: 978-0123756862
- Product Dimensions: 6 x 1.2 x 9 inches
- Shipping Weight: 2.6 pounds
- Average Customer Review: 33 customer reviews
- Amazon Best Sellers Rank: #459,400 in Books (See Top 100 in Books)
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Introduction to Probability Models, Tenth Edition 10th Edition
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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
About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. 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, and a recipient of the Humboldt US Senior Scientist Award.
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Top customer reviews
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As for this book itself, the first two chapters are pretty quick, cut, and dry. They cover the material necessary and adequately for later sections with no real B.S., but sometimes it can feel a little too dry (which is why I recommend a stronger background first).
Chapter 3 is perhaps the most important chapter in the book. I can not stress enough the importance of mastering the concepts in chapter 3 - conditioning is by far the most important problem solving technique in this book.
Tons of good exercises ranging from easy to very hard, and starred exercises have detailed solutions in the back.
The book combined theory and applications. It's a imprescindible for those studying engineering or sciences and professionals.