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Introduction to Probability Models, Ninth Edition
by Sheldon M. Ross
from Academic Press
Customer Reviews:
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Avg. Customer Rating: 3.5 / 5.0 
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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). There are a lot of examples in each chapter, making easier to understand the theory. The author look to explain the intuition behind some theorems and proofs, which is excellent. I have almost no hard background in statistic and math (just knew how to derive and integrate and some notions of calculus of probaility) and I was capable of understand almost everything I studied... more info
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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 acturial work....." "Other Academic Press books by Sheldon Ross:
Simulation 3/e, ISBN 0 12 598053 1.
Probability Models for Computer Science, ISBN 0 12 598051 5.
Introduction to Probability and Statistics for Engineers and Scientists 2/e, ISBN 0 12 598472 3."
[from the book of the back cover]
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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 book - it does not explain the concepts so well. e.g. Bayes Theorem has been introduced in like half a page with absolutely no explaination of prior and posterior probablities and the underlying concepts (something I learnt when we applied Bayes Formula in a Neural Networks & Data Mining course) So all you get are the... more info
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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. From the other reviews, I gather that it is a good resource for some. But this definitely not an INTRODUCTION to Probability Models unless you have a very strong background in general probability.
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