Applied Linear Statistical Models | 
 enlarge | Authors: John Neter, Michael H Kutner, William Wasserman, Christopher J. Nachtsheim
Publisher: McGraw-Hill/Irwin
Category: Book
List Price: $130.00
Buy Used: $39.95
You Save: $90.05 (69%)
Used (25) Collectible (1) from $39.95
Rating:  13 reviews
Sales Rank: 197388
Media: Hardcover
Edition: 4
Pages: 1408
Number Of Items: 1
Shipping Weight (lbs): 5
Dimensions (in): 10.2 x 8.4 x 2
ISBN: 0256117365
Dewey Decimal Number: 519.535
EAN: 9780256117363
Publication Date: February 1, 1996
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: 0256117365 >>Book only>>1996 4th Edition>>Hardcover with pictorial boards.>Cover glossy, inside pages appear unmarked although very minimal marks may be present >>wear and rubbing to cover at corners and bottom and top of spine. Second half of book has some rippling to bottom of pages, not affecting readability. >When shipped E-mail bottom notification>>Friendly customer satisfaction
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Product Description
There are two approaches to undergraduate and graduate courses in linear statistical models and experimental design in applied statistics. One is a two-term sequence focusing on regression followed by ANOVA/Experimental design. Applied Linear Statistical Models serves that market. It is offered in business, economics, statistics, industrial engineering, public health, medicine, and psychology departments in four-year colleges and universities, and graduate schools. Applied Linear Statistical Models is the leading text in the market. It is noted for its quality and clarity, and its authorship is first-rate. The approach used in the text is an applied one, with an emphasis on understanding of concepts and exposition by means of examples. Sufficient theoretical foundations are provided so that applications of regression analysis can be carried out comfortably. The fourth edition has been updated to keep it current with important new developments in regression analysis.
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| Customer Reviews: Read 8 more reviews...
 must buy, especially for students August 23, 1999
21 out of 23 found this review helpful
I definitely recommend this book to anyone who wishes to understand how to implement the linear model. This book shows the theory and then gives comprehensive examples explaining when and how to apply the theory. The book made few assumptions about readers having a certain level of specialized knowledge, such as familiarity with matrix math. The math presented in the book is thoroughly explained from the ground up using concrete examples, well over 1000 pages of text. I wish all advanced mathematical, engineering and science books were written in a similar fashion, presenting abstract theories along with in-depth concrete examples.
Best Book Out There December 19, 2003
Daryl Paulson (Bozeman, Montana)
8 out of 8 found this review helpful
I have used this book when it was in its first edition and only by Neter and Wasserman. An absolute must for those who use linear models (regression and ANOVA) and want the most exhaustive book out there. This book is one of the rare texts that is also extremely well written. You can not go wrong reading it and studying it on your own. If you can take only one statistics book with you, this is the one. I use the 4th edition so much, I wore my first one out and am now on the second.
A fine job September 6, 2000
7 out of 7 found this review helpful
The linear model lies at the heart of a wide variety of familiar statistical methods, including regression, anova, and ancova. Anyone with a professional interest in statistics must get to know it well. This book is a clear, well organized, and practical presentation of the linear model. It is not pie-in-the-sky or esoteric. It leads the reader carefully through the real world problems that are encountered in applying the model. The book can be read on several levels. It provides practical instructions for applying the model to various situations, but also quite thoughly expounds on the mathematical theory behind the model. The theory and practice are separate but parallel, so you can read as much or as little of the theory as you like, or as much or as little of the practice. This book belongs on the reference shelf of anyone who uses statistics. In a world where technical publications are priced through the sky, it is a relative bargain (1400 pages).
A great book for a course, for reference, and to keep! August 22, 2003
6 out of 6 found this review helpful
This book seems very difficult and long to read at first, but as soon as I got into the habit of using this book, this is really a great book to have. The terminologies are very easy to understand and yet not redundant, and it has some great reference areas in the sections that you could look up for information when you need to work on an exercise or a project. The exercises in the back of each section are ample enough so that you can have a firm grasp of the material after working on those exercise. This book is useful and is a must have for any math/stat student!Enjoy...
Great book! August 10, 2003
4 out of 4 found this review helpful
Wonderful explanation of regression methods with many worked examples. The book is very detailed and covers practically everything you need to know on the topic. It also comes with a disk containing the example datasets. I used it for years in graduate school and still use it today. If you work through the book, you can teach yourself all about regression - everything you need is there (although no free lunch - this isn't exactly easy material)
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