Rating: 
Summary: freaking piece of Sh**
Review: I'm a professional who works in the tech industry, and I'm pretty competent in Stats. I'm taking a Design of Experiments class this term for my masters program, and for whatever reason the instructor chose to use this book. It's utterly useless, piece of [literature]. The explanations are poor, no good examples, and NO ERRATA for a error-prone book!! I wonder if the authors paid instructors to use this book, because it's simple one of the worst books ever written. I'm sellign this junk right afterwards.. it's not even worth the shelf space... use it for toilet paper maybe!
Rating:
Summary: This is a difficult book from which to teach yourself
Review: I'm a second year computer science student taking a course on probability, and this is the book we are using. Why, I don't know, because it's not a very good book. I'm not a note-taker, and have a difficult time paying attention in math classes, so I usually teach myself from the book. With a 3.6 GPA, I'd say it usually works. Not so with this book.This book lacks sufficient examples and the definitions and explanations of theorems are confusing. To its credit, it has odd answers in the back, but that's standard for math books. However, it lacks any answers to the review exercises at the end of each chapter, making the review exercises nearly worthless.
Rating:
Summary: Most miserable book EVER!
Review: I'm a senior (4th year) electrical engineer at a well known engineering school. I believe i have an IQ somewhere above a 20 (sarcasm) and this is the most convoluted, useless piece of crap ever. The course should be relatively simple and the material is pretty straight foward... however, the book makes the material a chore to learn. There are few examples, poor definitions, and vague explanations. If you are a professor, do not get this book unless they pay you! And if you did get the book, you would do a disservice to all your students (the reason why you have a job,... unless you're one of those "research" professors)
Rating:
Summary: Most miserable book EVER!
Review: I'm a senior (4th year) electrical engineer at a well known engineering school. I believe i have an IQ somewhere above a 20 (sarcasm) and this is the most convoluted, useless piece of crap ever. The course should be relatively simple and the material is pretty straight foward... however, the book makes the material a chore to learn. There are few examples, poor definitions, and vague explanations. If you are a professor, do not get this book unless they pay you! And if you did get the book, you would do a disservice to all your students (the reason why you have a job,... unless you're one of those "research" professors)
Rating:
Summary: Buy Hayter instead
Review: Not worth the paper it's printed on or the ink used to print...poor trees! =(
Rating: 
Summary: Very good but not for mathematicians
Review: The explanations are very good. Unfortunately, the problems are very easy, not suitable for students majoring in mathematics. If you want to use it for beginners in Statistics, who do not have to learn stochastic processes, then I strongly recommend this text. However, this book may serve as a dictionary for every statistician because the concepts are well explained and is easy to read.
Rating: 
Summary: An extraordinary text : precise , complete and expressive!
Review: This book was my battlehorse when I was an Engineer Industrial student in the eighties . Stiil I bought the second Edition , this one has a visible quality above the others . His nice presentation , the increased level of difficult in every chapter .
Useful for those Enginnering students , Pharmace, Administration in Pre Grade and Post Grade students .
Rating: 
Summary: Hey, where's the errata!
Review: This is a pretty good book, very straight forward with examples that are related to the exercises. Great way to learn this stuff! But, there are many mistakes in this book. There is no errata available, even though this is the sixth edition! It would be helpful to have an errata, especially if you're doing self-study.
Rating:
Summary: Many mistakes, poor examples, unhelpful
Review: This is a required text for my statistics course. Personally, I do not understand why this text has been selected. There are mistakes throughout the book. This causes a lot of frustration as wasted time. There are very few examples in the book, and there are not examples that illustrate all concepts. Some of the examples start out explaining a certain concept, then instead of solving it all the way through, show how it can be transformed into a different problem which is then solved a completely different way. There are answers in the back of the book to odd numbered problems, as is normal in most math books. However, that is all. Simply the answers. The work required to acheive the answers is not present, so it can be very difficult to determine where a mistake has been made (Whether in your own work, or if the book is incorrect). The writing itself is very convoluted and uses far too much jargon for this to be a useful teaching text. I feel that the authors were more interested in making themselves sound intelligent than actually trying to help a student understand the material. If looking for a statistics text, look elsewhere.
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