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3.5 out of 5 stars See all reviews (34 customer reviews)

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Editorial Reviews

Review
“...perfect for actuaries…a fascinating introduction to applications from a variety of disciplines. Any curious student will love this book."
--Jean Lemaire, University of Pennsylvania, Wharton School

“The examples, like the exercises are great...”
--Matt Carlton, California Polytechnic State University -- Review --This text refers to an out of print or unavailable edition of this title.

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

See all Editorial Reviews

Product Details

  • Hardcover: 800 pages
  • Publisher: Academic Press; 9 edition (December 5, 2006)
  • Language: English
  • ISBN-10: 0125980620
  • ISBN-13: 978-0125980623
  • Product Dimensions: 9.1 x 7.1 x 1.3 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 3.5 out of 5 stars See all reviews (34 customer reviews)
  • Amazon.com Sales Rank: #44,024 in Books (See Bestsellers in Books)

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Customer Reviews

34 Reviews
5 star:
 (12)
4 star:
 (7)
3 star:
 (5)
2 star:
 (7)
1 star:
 (3)
 
 
 
 
 
Average Customer Review
3.5 out of 5 stars (34 customer reviews)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

 
43 of 44 people found the following review helpful:
5.0 out of 5 stars I love this book!, September 14, 2000
By Todd Ebert (Long Beach California) - See all my reviews
The first four chapters alone (intro, random variables, conditonal probability, markov chains) are worth the price of the book. The author packs each chapter with very interesting examples and problems. The one I found most interesting was his probabilistic analysis of the 2-SAT and SAT problems of computer science. Here he gives an informal math argument as to why 2-SAT is polynomial time decidable and why SAT should be intractable.

On the other hand, I think someone relatively new to probability theory may find his neat problems and examples a bit too much with a first reading. The book is in its seventh edition, and I think Ross has taken advantage of this by providing newer insights and more interesting problems, but in doing so it may overwhelm the novice.

If you are learning probability for the first or second time, I recommend you supplement this book with Roussas "A Course in Mathematical Statistics". Despite its title, the first 9 chapters give a calculus-based intro to probability. And the rest of the book is *excellent* for a calculus-based intro to statistics.

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11 of 12 people found the following review helpful:
4.0 out of 5 stars Many examples,few statements of clear theory, December 2, 1999
Althought the book contains number of very ineresting examples I would have prefered if Ross stated the underlying theory more clearly. Often, I had hard time finding the theory in the text. On the other hand, for practical purposes, if you can find the example that matches your practical problem this book will have the some form of the solution derived for it.
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12 of 14 people found the following review helpful:
2.0 out of 5 stars Take "Introduction To" out of the title, June 12, 1999
This was my first course in stochastics and this book was horrible to start with. I learned all the material from other study guides which used easier examples and were written in english. If you're looking for an introduction to stochastics forget this book, if you've had some previous experience it will probably do quite well.
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Most Recent Customer Reviews

5.0 out of 5 stars Very usefull and easy
I am not a statistician and yet I loved the book. The exercises are hard, but very helpfull (maybe it should have more answers). Read more
Published 6 months ago by Manoel Galdino

5.0 out of 5 stars New To This Edition Are Five New Sections
".....NEW TO THIS EDITION ARE FIVE NEW SECTIONS, and numerous new examples and exercises, many of which focus on strategies applicable in risk industries such as insurance or... Read more
Published 12 months ago by Aung Htun

2.0 out of 5 stars does not explain the concepts so well; just one proposition after the other
We had this book for a 4th year Computer Science - Statistics course.

I agree with some of the other reviewers that - inspite of claiming to be an 'introductory' text... Read more
Published 15 months ago by Paras Jethwani

2.0 out of 5 stars Dense and difficult to follow.
This book contains a wealth of information about probability models, but it's so hard to follow that I can't extract any of that information to make any use of it. Read more
Published 17 months ago by A. Chaney

2.0 out of 5 stars Why are there so many examples?
Extremely difficult to dig through the excessive examples in order to find the relevant theorems and results. Read more
Published on March 31, 2007 by student

5.0 out of 5 stars very good
I used this book for a graduate-level course in Stochastic Processes taught by Dr. Sheldon Ross himself. Read more
Published on November 14, 2006 by americanspirit

3.0 out of 5 stars Good development of intuition, but not as good for other purposes...
I have many of the same criticisms of this book that I do of Ross's book titled: "Probability: a first course". Read more
Published on September 27, 2006 by Alexander C. Zorach

4.0 out of 5 stars good balance of rigour and problems
Ross presents a good treatment of probability theory. Enough rigour to be suitable for most students. Along with a very extensive problem set for each chapter. Read more
Published on May 12, 2006 by W Boudville

5.0 out of 5 stars Information density function
I'm currently using this book for a course. I recommend taking courses in probability and mathematical statistics before this, which I neglected and which made the class... Read more
Published on April 13, 2006 by Frank T. Willmore

4.0 out of 5 stars Very Good book but not the best in this topic
My proffesor in Industrial Statiscs class liked it for some themes, but not for all. So sometimes it's better to use other sources. Read more
Published on March 21, 2006 by Mike Jim

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