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Introduction to Probability Models, Tenth Edition
 
 
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Introduction to Probability Models, Tenth Edition [Hardcover]

Sheldon M. Ross (Author)
3.7 out of 5 stars  See all reviews (11 customer reviews) |
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Book Description

Publication Date: December 17, 2009 | ISBN-10: 0123756863 | ISBN-13: 978-0123756862 | Edition: 10

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.

Ancillary list:
  • Instructor's Manual - http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123743886
  • Student Solutions Manual - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862#42
  • Sample Chapter, eBook - http://www.elsevierdirect.com/product.jsp?isbn=9780123756862

New to this Edition:

  • 65% new chapter material including coverage of finite capacity queues, insurance risk models and Markov chains
  • Contains compulsory material for new Exam 3 of the Society of Actuaries containing several sections in the new exams
  • Updated data, and a list of commonly used notations and equations, a robust ancillary package, including a ISM, SSM, test bank, and companion website
  • Includes SPSS PASW Modeler and SAS JMP software packages which are widely used in the field

Hallmark features:

  • Superior writing style
  • Excellent exercises and examples covering the wide breadth of coverage of probability topics
  • Real-world applications in engineering, science, business and economics

Special Offers and Product Promotions

  • Buy $50 in qualifying physical textbooks, get $2 in Amazon MP3 Credit. Here's how (restrictions apply)

Frequently Bought Together

Customers buy this book with Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 (with CD-ROM and InfoTrac) by Wayne L. Winston Hardcover $160.85

Introduction to Probability Models, Tenth Edition + Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 (with CD-ROM and InfoTrac)
Price For Both: $231.73

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Editorial Reviews

Review

Praise from Reviewers:
"This is a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book."
- Jean LeMaire, University of Pennsylvania
"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, Cal Polytechnic Institute
"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.

Product Details

  • Hardcover: 800 pages
  • Publisher: Academic Press; 10 edition (December 17, 2009)
  • Language: English
  • ISBN-10: 0123756863
  • ISBN-13: 978-0123756862
  • Product Dimensions: 9.1 x 6.1 x 1.3 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #28,387 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews
7 of 7 people found the following review helpful
Format:Hardcover|Amazon Verified Purchase
I bought this book as a supplement to Resnick's "Adventures in stochastic processes." Basically I really liked how there is a lot of exercises with many solutions in the back of the book. It makes this text ideal for self study. It is not quite as rigorous as Resnick but it provides a lot of examples, intuitive explanations, and applications that make the book extremely valuable for any quantitative scientist. I would recommend this book as a main text for an upper level undergraduate class in stochastic processes, a text for mathematically minded scientists in biology, physics, and economics who want to learn some stochastic processes on their own, or as a supplemental text for a graduate class that focuses more on theory. In the latter case the book will provide added examples and explanations when you get lost in some of the mathematical formalism of more advanced books. Reading the simple non-rigorous explanation will allow you to go back to some of the difficult proofs with a better understanding for what you are trying to prove.
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4 of 4 people found the following review helpful
excellent February 23, 2011
Format:Hardcover
The guy who has written a negative review of this book obviously is not of high caliber. This is as simple of a book you are going to get on stochastic processes with challenging examples. would you rather prefer a book by karlin and taylor? go ahead and be my guest. this and a solutions manual goes a long way
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8 of 11 people found the following review helpful
Horrendous March 30, 2011
By phsu
Format:Hardcover|Amazon Verified Purchase
Imagine a probability textbook with just equations and text. Seriously, with no diagrams whatsoever (except in some of the exercises). Imagine being "introduced" to Markov chains without seeing a single state diagram, joint probability densities without even an X-Y digram, probability spaces without Venn diagrams, conditional probabilities without tree diagrams. Not to go for the bubbly colorful textbooks, as I majored in physics and spent several years with black-and-white physics and math textbooks that show equations up the yin yang, but the saying "a picture is worth a thousand words" does not fail. If you use just this textbook, the best you'll be is an equation monkey with very little intuition. Also, certain tools that are extraordinarily useful and would make solving problems a heck of a lot simpler are left to be derived in the exercises -- so if you were never assigned that problem, you'd never see it, nevermind realize it's a very valuable tool. I've gotten an A in a college-level probability class before and am taking probability again only because my new graduate school requires we retake the course. I feel really sorry for whichever poor soul who's using this book as a genuine "introduction".
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Most Recent Customer Reviews
Best served with a strong background
This book is best served with a strong background in probability. I would recommend the same authors "A First Course in Probability" to acquire the knowledge necessary to really... Read more
Published 5 months ago by MP
good coverage; bad illustrations
example illustrations are verbose and lengthy, which makes things more complicated than they should be. Read more
Published 6 months ago by Sherman
Poor for learning, okay as reference
While this book has it's merits, I found it to be unnecessarily convoluted in its explanations of basic models. Read more
Published 6 months ago by Y. Gu
The best book ever!
This is a bool that you should have if you are intrested in queuing theory and Markov chains. Simple with great examples and organised.
Published 17 months ago by Christos Tsiaras
Un excelente libro
El autor, en un lenguaje dinámico y a través de ejemplos y claras demostraciones orenta el lector a "pensar" desde el enfoque de la probabilidad.
Published 17 months ago by Juan
A very bad text book in probability
Although the book goes fast on the probability prerequisites to reach modeling principles, it is a very very bad book for learning mobility principles (markov chains and processes)... Read more
Published 19 months ago by masood_mj
GOOD BOOK
The book is of really good quality with reasonable price! I really like it !
Published 20 months ago by Bell
One of the best math books I have seen
I borrowed the book from a friend. Having read one chapter, it got me so interested that I ordered one for myself. Read more
Published on March 11, 2010 by M. Amirhossein
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