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An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition 3rd Edition
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A complete guide to the theory and practical applications of probability theory
An Introduction to Probability Theory and Its Applications uniquely blends a comprehensive overview of probability theory with the real-world application of that theory. Beginning with the background and very nature of probability theory, the book then proceeds through sample spaces, combinatorial analysis, fluctuations in coin tossing and random walks, the combination of events, types of distributions, Markov chains, stochastic processes, and more. The book's comprehensive approach provides a complete view of theory along with enlightening examples along the way.
- ISBN-100471257087
- ISBN-13978-0471257080
- Edition3rd
- PublisherWiley
- Publication dateJanuary 1, 1968
- LanguageEnglish
- Dimensions6.26 x 1.13 x 9.25 inches
- Print length509 pages
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About the Author
William "Vilim" Feller was a Croatian-American mathematician specializing in probability theory.
Product details
- Publisher : Wiley; 3rd edition (January 1, 1968)
- Language : English
- Hardcover : 509 pages
- ISBN-10 : 0471257087
- ISBN-13 : 978-0471257080
- Item Weight : 1.9 pounds
- Dimensions : 6.26 x 1.13 x 9.25 inches
- Best Sellers Rank: #654,562 in Books (See Top 100 in Books)
- #251 in Statistics (Books)
- #910 in Probability & Statistics (Books)
- #3,270 in Core
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It is a pleasure to read a book from one of the masters of probability. You can feel, page after page, how the author goes on and on, introducing ideas and concepts in such an intuitive way, that you want to keep on reading.
The chapter dedicated to random walks is particularly illuminating.
The more you read, the more you get into the incredible depth of the text.
Volume I is dedicated to the discrete probability and Volume II to the continuous (measure-theoretic) probability.
If you are interested in the subject, you must have both volumes. Every time you pick up one of them, you will discover a hidden treasure not unveiled in previous readings.
He gets to the gist of the idea without alot of math.
This book is useful for teaching very creative people
as it has a wide variety of problems from easy to
research level (what ever that might be...)
The author says that 7.3 is "easily verified". The most difficult of conclusions are named obvious and easy by the author. Feller is exceptionally brilliant, but he has real difficulty explaining concepts to someone below his level.
Content in the book is excellent if you are willing to put in the time. There were some really interesting conclusions about "fair" games and how often the theory diverges from what one observes in real world situations.
This book could be really useful for someone interested in advanced theoretical probability theory.
Reviewed in the United States on September 22, 2016
The author says that 7.3 is "easily verified". The most difficult of conclusions are named obvious and easy by the author. Feller is exceptionally brilliant, but he has real difficulty explaining concepts to someone below his level.
Content in the book is excellent if you are willing to put in the time. There were some really interesting conclusions about "fair" games and how often the theory diverges from what one observes in real world situations.
This book could be really useful for someone interested in advanced theoretical probability theory.
This is a difficult book and was not widely used even in the 70s as a textbook. I can recall the word "idiosyncratic" being used by someone to describe the book. The problem is that the book seeks to address deep issues and that requires hard work. It is not the sort of book a struggling student will find helpful. As one matures as a mathematician one can appreciate the incredible depth of the material. As a practical example - about 30 years after I first touched this book a Head of Quant approached me in relation to a paper by Marsaglia on distributions of ratios of normal variates. The verification of Marsgalia's derivation (which is non-trivial) is to be found as a series of 3 problems in Vol 1.
With the development of stochastic calculus in the finance world Feller can look a bit outdated but if you can understand the core material you are doing well. Stochastic calculus would be a push over.
Vols 1 and 2 present a treasure trove for those who want to delve into the area. I still use Feller's coin tossing example from Vol 1 to demonstrate to those in the finance world that their understanding of the "law of averages" is imperfect.
The funny thing is that Vol 2 (which I could never afford as a student) is so hard to get. I think that was because Vol 2 was regarded as even more obscure than Vol 1. I got a copy from Amazon second hand and it is now united with its twin in my study.
Peter Haggstrom
BONDI BEACH AUSTRALIA










