Introduction to Probability Models

by Sheldon M. Ross

Book Overview

Introduction to Probability Models, Ninth Edition, is the primary text for a first undergraduate course in applied probability. This updated edition of Ross's classic bestseller 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...

• Format: Hardcover
• Language: English
• ISBN: 0125980620
• ISBN13: 9780125980623
• Release Date: December 2006
• Publisher: Academic Press
• Length: 800 Pages
• Weight: 2.60 lbs.
• Dimensions: 1.2" x 6.0" x 9.0"

Customer Reviews

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 (from chapter 4 to 8).

very good

I used this book for a graduate-level course in Stochastic Processes taught by Dr. Sheldon Ross himself. I must say that I never liked probability and stochastics until I read this book. Reading it is a pleasure! The topics are presented in a highly methodical manner, with plenty of examples and exercises. The exercises are presented in a gradation. Covers a wide range of topics, and is very helpful for a course in stochastics, especially for a student who doesn't have a strong background in P & SP. This is the book to own, don't miss it!

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 difficult, but this is an excellent book. We've covered about half of the chapters, and only about half of the sections of those, and I find myself wanting to take another course from this book. I've heard some complaints about the level of rigor... I'm an engineer and find it sufficiently rigorous without being tedious, and were I a mathematician, I would probably just take another course or read more if I really wanted that level of detail. This is a MUST HAVE for anyone doing monte carlo simulation and I wish I'd bought it years ago.

Review of Probability Models by Sheldon Ross

As with all his books, this one is clearly written, with wonderful examples, and an intuitive approach. I highly recommend it to anyone interested in understanding probability and stochastic processes.

Finally a book that clearly explains probability

Most books have a natural tendancy to concentrate on the context of the material into theory but this book was very well written by the author. Not only are the defintions, concepts, and formulas structured into a flow of easy comprehension, but the detailed examples and solutions are an asset for any person interested in beginning their understanding of the subject with a solid and concrete foundation. The reason why there are so many negative reviews about this book is simply because those people thought it would be a walk in the park without little effort. In conclusion, the probability of one not liking this book is almost zero if they are willing to put in a litte effort instead of depending on spoonfeeding.