The treatment has no measure theory, cuts to the chase, and can be used as a desk reference. If you want measure theory, go spend some time reading Billingsley. A deep understanding of measure theory is not necessary for scientific and engineering applications; it is not necessary for those who do not want to work on theorems and technical proofs. I've notice a few complaints in the comments section by people who felt frustrated by the treatment: do not pay attention to them.
Ignore them. It the subject itself that is difficult, not this book. The book, in fact, is admirable and comprehensive given the current state of the art. I am using this book as a benchmark while writing my own, but more advanced, textbook on errors in use of statistical models. Anything derived and presented in Papoulis, I can skip. And when students ask me what they need as pre-requisite to attend my class or read my book, my answer is: Papoulis if you are a scientist, Varadhan if you are more abstract.
Good book with the help of a good instructor By JS After reading almost all reviews, I actually think I agree with almost all including the ones that say it is not a book for beginners and ones that say that it is a great book written by a very knowledgeable author.
As a student who just completed a course in this subject with this book as the text, here is what I would like to say: 1. My instructor re-ordered some of the content of the text for his course.
It seemed necessary to understand certain concepts. As one of the previous reviews mentioned, some of the important aspects of probability theory were hidden in problems, these were brought out by the instructor either as homeworks or as part of lecture notes and explained. This also means that it is not enough to just read this text and understand the examples. It is almost as important to go through the problems to get the complete picture 3.
All in all I liked the book but I sure would not have liked it as much if I did not have a good instructor to go with it. Refresh and try again. Oppenheim Ben G. A developed, complete treatment of undergraduate probability and statistics by a very well known author. Appropriate for an introductory undergraduate course in probability and statistics for students in engineering, math, the physical ans, and computer A developed, complete treatment of undergraduate probability and statistics by a very well known author.
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