Applied Linear Statistical Models [Hardcover]

John Neter (Author), Michael Kutner (Author), William Wasserman (Author), Christopher Nachtsheim (Author), John Neter (Author)

Book Description

ISBN-10: 0256117365 | ISBN-13: 978-0256117363 | Publication Date: February 1, 1996 | Edition: 4

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.

Product Details

• Hardcover: 1408 pages
• Publisher: McGraw-Hill/Irwin; 4 edition (February 1, 1996)
• Language: English
• ISBN-10: 0256117365
• ISBN-13: 978-0256117363
• Product Dimensions: 10.2 x 8.4 x 2 inches
• Shipping Weight: 5 pounds
• Average Customer Review: 4.4 out of 5 stars  See all reviews (14 customer reviews)
• Amazon Best Sellers Rank: #274,412 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

23 of 25 people found the following review helpful:

5.0 out of 5 stars must buy, especially for students, August 22, 1999

By A Customer

This review is from: Applied Linear Statistical Models (Hardcover)

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.

9 of 9 people found the following review helpful:

5.0 out of 5 stars Best Book Out There, December 18, 2003

By 

Daryl Paulson (Bozeman, Montana) - See all my reviews
(REAL NAME)   

This review is from: Applied Linear Statistical Models (Hardcover)

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.

8 of 8 people found the following review helpful:

5.0 out of 5 stars A fine job, September 5, 2000

By A Customer

Amazon Verified Purchase

This review is from: Applied Linear Statistical Models (Hardcover)

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).