AnyBook4Less.com	Find the Best Price on the Web Order from a Major Online Bookstore
Home  |  Store List  |  FAQ  |  Contact Us  |
Ultimate Book Price Comparison Engine Save Your Time And Money Keyword AuthorISBN

Title: Introduction to Probability Models, Eighth Edition by Sheldon Ross, Sheldon M. Ross ISBN: 0-12-598055-8 Publisher: Academic Press Pub. Date: December, 2002 Format: Hardcover Volumes: 1 List Price(USD): $89.95

Your Country USA Canada United Kingdom Australia Austria Belgium France Germany Italy Netherlands Switzerland Currency AutoUSD CAD GBP EUR AUD CHF Delivery Only cheapest delivery All delivery options Include Used Books Are you a club member of: Barnes and Noble Books A Million Chapters.Indigo.ca

Average Customer Rating: 3.47 (17 reviews)

Rating: 5
Summary: Great book!
Comment: Contains many good worked examples. The text is well written.

Some of the introductory material is covered very lightly (for example Moment Generating Functions), but I believe Ross does a better job than others.

Other topics, such as Poisson processes and Markov chains are covered in depth.

Rating: 5
Summary: I love this book!
Comment: 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.

Rating: 4
Summary: Much examples
Comment: This is a good book for a senior undergraduate probability course, it has many examples which provides good understanding. But some results I think it would be too difficult for a 3rd year course to have their students to absorb the material. Again, it is pretty pricy too.