- Hardcover: 509 pages
- Publisher: Wiley; 3rd edition (1968)
- Language: English
- ISBN-10: 0471257087
- ISBN-13: 978-0471257080
- Product Dimensions: 6.3 x 1.1 x 9.2 inches
- Shipping Weight: 1.7 pounds (View shipping rates and policies)
- Average Customer Review: 23 customer reviews
- Amazon Best Sellers Rank: #469,048 in Books (See Top 100 in Books)
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An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition 3rd Edition
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Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.
Top customer reviews
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.
Most recent customer reviews
When we put r=4 balls in 3 cells, the sample space...Read more