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Understanding Probability Paperback – 14 Jun 2012


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Product details

  • Paperback: 574 pages
  • Publisher: Cambridge University Press; 3 edition (14 Jun 2012)
  • Language: English
  • ISBN-10: 110765856X
  • ISBN-13: 978-1107658561
  • Product Dimensions: 22.6 x 14.7 x 3.3 cm
  • Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 155,158 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Most Helpful Customer Reviews

Format: Paperback
I am an undergrad who's majoring in engineering. This book helps to illuminate the laws of probability in a way that I had not learned from other probability books. A wonderful balance between intuition and rigourness. The book is so well written that it is a joy to read. I love this book ! Five stars, easy.
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0 of 1 people found the following review helpful By Jais on 20 Dec 2013
Format: Paperback Verified Purchase
You are being introduced to a lot of rather complicated problems where you can apply probability theory, but it is very unclear how and when in book they are linked to the more theoretical part of deriving the results. In general the book fails to give the reader an intuition for probability theory. For example, the link from the binomial distribution to the Poisson distribution is being derived on a few lines. If the book wants you to understand probability these very important relations between distributions should be explained in much more depth, in my view.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 4 reviews
5 of 5 people found the following review helpful
Excellent textbook with many examples. Perfect for the classroom and for self-study. 23 Nov 2012
By Hermit Range - Published on Amazon.com
Format: Paperback
This is a peerless introductory textbook. It starts very gently and relying on intuition and only later introduces rigor in a manageable way. There are lots of exercises and examples: this is a book to be followed with pencil and lots of paper. On the back side I wished that some of the examples were more thoroughly explained. In particular there are a handful cases where the author just states an "obvious" probability model and then goes on solving it without further explanations and leaving the students hanging on without a clue on why the model was specified that way. I also think there are more than enough examples using casino and card games. I wished to see more examples related to the natural sciences and engineering, where you usually do not have the advantage of knowing the sample space of the problem! These comments notwithstanding, a great book that is also a joy to read. Perfect for both the classroom and for self-study!
5 of 6 people found the following review helpful
Illuminating and spellbinding 23 Oct 2012
By Andrew Reed - Published on Amazon.com
Format: Paperback
As an instructor who has taught an introductory probability course many times, I find the third edition of Understanding Probability an excellent textbook for a first course in probability. The author is known for his expertise and enthusiasm for probability, and this book captures that spirit. Drawing from rich and spellbinding examples, he illustrates the basic principles and ideas of probability and statistics in a clear and intuitive way that students will find illuminating. The material on conditional probabilities and Bayesian inference is the best introductory material on these topics I have ever seen. The book's historical comments, well-designed exercises, and explanations of famous paradoxes all add to the pleasure of exploring and understanding probability. Overall, the book does a very nice job at finding a balance between rigor and readability.
5 of 6 people found the following review helpful
A (small) error at first sight... 9 Oct 2012
By S. Kahrimanis - Published on Amazon.com
Format: Paperback
I just bought the latest (3rd) edition of this book from my local bookstore.
After a quick view, my rating is obviously just typical.
I have to notice however, the following.
Paragraph 2.2 (Basic probability concepts)...page 29. There is an example concerning Efron's dice game, which is
solved wrongly (!!!) in contrast with the second edition of the book, where it is solved correctly !!!
The correct answer is 4/6 and not 5/6 as the third edition claims.
The error is easy for someone to spot, but i don't know if in later chapters some really difficult examples / exercises
mislead the reader.
Anyway, a very good book with very interesting contents
2 of 2 people found the following review helpful
Practical ! 30 Jan 2013
By javier wilder carruitero buzzio - Published on Amazon.com
Format: Paperback Verified Purchase
I enjoyed the book very much, the author approach probabilities theory from a gambling angle and other personal situations with a clear mathematical foundation.
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