Customer Reviews

Introduction to Probability Models, Ninth Edition

5 star:		(2)
4 star:		(0)
3 star:		(0)
2 star:		(2)
1 star:		(1)

 

 

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 (from chapter 4 to 8).

This is my favorite book and doesn't leave my desk. I was surprised to see a few really low reviews, complaining how dense or uneasy this book is. This is NOT a beginners book. This is a graduate level text book that may be taught in TWO semesters! Yes it's dense, and covers variety of advanced probability subjects. Those who find this book too dense and uneasy are better off starting with Sheldon Ross's introductory book (A First Course in Probability).

I think this book is difficult to follow and it is not organized well. Buying this book was a waste of money.

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.

Extremely difficult to dig through the excessive examples in order to find the relevant theorems and results. Because of this, the problems at the end of each chapter become exercises in tedium, as more time is spent searching for the necessary theorems in the text than in actually working out the solution.

I do not recommend.