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Understanding Probability [Paperback]

Henk Tijms
2.5 out of 5 stars  See all reviews (2 customer reviews)
RRP: 30.99
Price: 26.99 & FREE Delivery in the UK. Details
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Book Description

14 Jun 2012 110765856X 978-1107658561 3
Understanding Probability is a unique and stimulating approach to a first course in probability. The first part of the book demystifies probability and uses many wonderful probability applications from everyday life to help the reader develop a feel for probabilities. The second part, covering a wide range of topics, teaches clearly and simply the basics of probability. This fully revised third edition has been packed with even more exercises and examples and it includes new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion, and a new chapter on continuous-time Markov chains with applications. Here you will find all the material taught in an introductory probability course. The first part of the book, with its easy-going style, can be read by anybody with a reasonable background in high school mathematics. The second part of the book requires a basic course in calculus.

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: 495,609 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description


'Henk Tijms - famous for his clear and profound work in applied probability - brings us another jewel. His book Understanding Probability combines outstanding pedagogy and thought provoking exercises to produce the best introductory text on the market.' Wayne Winston, Indiana University, Bloomington

'This book distinguishes itself with its down-to-earth style. Covering a wide range of topics from probability, it is filled with real-world fun examples that vividly illustrate sophisticated theory with simplicity. This new expanded edition could now serve as an excellent introductory textbook on probability theory at the undergraduate and masters level.' Karl Sigman, Columbia University

Book Description

Perfect for introductory probability courses and for self-study, this book demystifies much of probability theory, including betting systems and the central limit theorem. This third edition contains even more exercises and examples, plus new sections on Bayesian inference, Markov chain Monte-Carlo simulation, hitting probabilities in random walks and Brownian motion.

Inside This Book (Learn More)
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

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Most Helpful Customer Reviews
3.0 out of 5 stars Clear and Engaging 23 Dec 2013
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
2.0 out of 5 stars Not very well organized 20 Dec 2013
By Jais
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: 4.6 out of 5 stars  5 reviews
5 of 5 people found the following review helpful
4.0 out of 5 stars Excellent textbook with many examples. Perfect for the classroom and for self-study. 23 Nov 2012
By Secluded Path - Published on Amazon.com
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
5.0 out of 5 stars Illuminating and spellbinding 23 Oct 2012
By Andrew Reed - Published on Amazon.com
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
4.0 out of 5 stars A (small) error at first sight... 9 Oct 2012
By S. Kahrimanis - Published on Amazon.com
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
5.0 out of 5 stars 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.
5.0 out of 5 stars Five Stars 6 Aug 2014
By Oren Zusman - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
Clear, in depth and with many examples.
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