Rating: 
Summary: A good introduction to Probability for the graduate student
Review: Apparently, the perfect text of probability has not been written yet. Durrett's textbook is as good as other good textbooks (there are not many around), but has still some flaws. Some topics (martingales, brownian motion) are given relatively more attention than in other popular textbooks, say Billingsley's "Probability and Measure". In general, the choice of the topics and their organization is what differentiates this textbook and makes it valuable. The style is somewhat terse, and sometimes the reader would appreciate some wrds of advice about the relative importance of topics and techniques (see for example the very readable "Probability with Martingales" by Williams). The problems are interesting. The book is very useful when used jointly with other, possibly more wordy, references. This edition has less typos then the first (which was an editorial scandal), but still too many to be considered decent. With less typos and a few more explanations, the third edition has good chances to become "the" reference textbook for probabilists.
Rating: 
Summary: good reference, dont try learning prob theory from it alone
Review: As a reference text for people whove studied the material in it before, its extremely well written. However if youre trying to learn the stuff from scratch you must have another book, one that explains to you whats going on.
Rating: 
Summary: A good Reference Book
Review: I agree with all those who rated this book below or equal to 2 stars.
I don't agree with the author.His book is only good as a reference book for those who have mastered the contents( for example, the professors who have taught probability for their entire lives and take for granted that every line in the book is trivial. If it is indeed trivial, why bother to write a book! what is a textbook for?) For my own experience, to follow this book, I have to read everything from Billingsley's textbook!
Rating:
Summary: Poor books
Review: I completely agree with the readers from Madison and Chicago, I don't agree with the author.
Rating:
Summary: Poor books
Review: I completely agree with the readers from Madison(Wisconsin) and (Chicago), I don't agree with the author.
Rating:
Summary: Poor Book
Review: I completely agree with the readers from Madison(Wisconsin) and (Chicago), I don't agree with the author.
Rating: 
Summary: Best book for introduction to probability
Review: I found this to be an excellent book, clear and well-explained, for my graduate probability theory course. The author assumes you are familiar with real analysis (which I was). I did very well in the course and I do recommend this book despite what others said.
Rating:
Summary: the worst probability book ever
Review: I had this book for my probability class and it was just horrible. I ended up purchasing additional probability books so that I would see what is actually going on. The book is very compact and terse, horrible to read. Organization is just awful, there are lots of things all over the place.
I really would not recommend this book for probability course, especially since there are so many better ones like Bilingsley, Resnick, and Chung.
Rating:
Summary: Special style, good choice of material
Review: I used the book as one of the main sources for a two semester course in probability. Besides its special style, which you may or may not like (I do), it covers a wide range of modern topics and is thus one of the best books in probability for graduate students (and researchers :-) ).
Rating:
Summary: The Author Speaks
Review: Probability:Theory and Examples is written for a graduate course in probability. It is not designed for undergraduates or others who are learning the material for the first time. At the graduate level it has been very successful and is one of the mostly commonly used texts in the country. A third edition with more typos corrected and hopefully a lower price will come in roughly October 2003.
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