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Applied Linear Statistical Models
 
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Applied Linear Statistical Models (Hardcover)

by John Neter (Author), Michael Kutner (Author), William Wasserman (Author), Christopher Nachtsheim (Author), John Neter (Author)
4.3 out of 5 stars See all reviews (13 customer reviews)


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Editorial Reviews

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.

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: 4.3 out of 5 stars See all reviews (13 customer reviews)
  • Amazon.com Sales Rank: #47,057 in Books (See Bestsellers in Books)

    Popular in these categories: (What's this?)

    #31 in  Books > Business & Investing > Economics > Statistics
    #32 in  Books > Reference > Business Skills > Business Math


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Customer Reviews

13 Reviews
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 (8)
4 star:
 (3)
3 star:
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2 star:    (0)
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Average Customer Review
4.3 out of 5 stars (13 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

 
21 of 23 people found the following review helpful:
5.0 out of 5 stars must buy, especially for students, August 22, 1999
By A Customer
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.
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8 of 8 people found the following review helpful:
5.0 out of 5 stars Best Book Out There, December 19, 2003
By Daryl Paulson (Bozeman, Montana) - See all my reviews
(REAL NAME)   
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.
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7 of 7 people found the following review helpful:
5.0 out of 5 stars A fine job, September 6, 2000
By A Customer
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).
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Most Recent Customer Reviews

5.0 out of 5 stars this explains everything...
It's the only book in our library that (a) doesn't assume that you know everything already, and (b) doesn't assume that you want to skip over any of the details. Read more
Published on January 17, 2007 by P. Desnoyers

3.0 out of 5 stars The quanlity is fair
The quanlity is fair. the cover is somewhat broken.
someone split drink in the first few pages.
Published on August 29, 2006 by Jun He

4.0 out of 5 stars Applied Linear Regression
An extremely comprehensive and well written textbook. Very useful as a reference on linear statistical models but at 1400 pages not a straightforward read. Read more
Published on October 12, 2005 by salesconsult

5.0 out of 5 stars This is the ONE that will get you through advanced stats!
I cannot recommend this book highly enough, especially if one is struggling through a grad level stats course. Read more
Published on November 7, 2004 by John Korkow

5.0 out of 5 stars A great book for a course, for reference, and to keep!
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. Read more
Published on August 21, 2003

5.0 out of 5 stars Great book!
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. Read more
Published on August 10, 2003

4.0 out of 5 stars I'm not selling this one back
This is one of the few stat books that I'm keeping. I've used it to help me through Linear Regression, Experimental Design, and Multiple Regression classes. Read more
Published on April 15, 2003

4.0 out of 5 stars This book got me out of school, the best!
I was only interested in regression, when younger, as this seemed to be useful in physics labs and in scientific literature. Read more
Published on March 31, 2002 by Peter Timusk

5.0 out of 5 stars A Must-Have Book
Graduate students, and people professionally involved into dealing with data every now and then will find this book to be an indispensable comprehensive reference for most types... Read more
Published on February 25, 2001

1.0 out of 5 stars Dissapointed and Confused
Spent the last semester using the Applied Linear Statistical Models book and left the class even more confused. Read more
Published on December 5, 1999

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