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John Neter

Applied Linear Regression Models 4th Edition

by Michael H Kutner (Author), Christopher J. Nachtsheim (Author), William Wasserman (Author),

4.3 80 ratings

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Applied Linear Statistical Models
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Kutner, Neter, Nachtsheim, Wasserman, Applied Linear Regression Models, 4/e (ALRM4e) is the long established leading authoritative text and reference on regression (previously Neter was lead author.) For students in most any discipline where statistical analysis or interpretation is used, ALRM has served as the industry standard. The text includes brief introductory and review material, and then proceeds through regression and modeling. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in any discipline. ALRM 4e provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor by using larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

ISBN-10

0072386916
ISBN-13

978-0072386912
Edition

4th
Publisher

McGraw-Hill/Irwin
Publication date

September 5, 2003
Language

English
Dimensions

7.5 x 1.23 x 9.4 inches
Print length

672 pages
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Editorial Reviews

About the Author

Michael H. Kutner is a professor at Emory University in Atlanta.

Chris J. Nachtsheim is a professor at the University of Minnesota--Minneapolis.

John Neter is a professor at the University of Georgia in Athens.

Michael H. Kutner is a professor at Emory University in Atlanta.

Chris J. Nachtsheim is a professor at the University of Minnesota--Minneapolis.

John Neter is a professor at the University of Georgia in Athens.

Nachtsheim is Professor, Department Chair, and Curtis L. Carlson Professor of Operations and Management Science at the Carlson School of Management, University of Minnesota.

Product details

Publisher ‏ : ‎ McGraw-Hill/Irwin; 4th edition (September 5, 2003)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 672 pages
ISBN-10 ‏ : ‎ 0072386916
ISBN-13 ‏ : ‎ 978-0072386912
Item Weight ‏ : ‎ 2.65 pounds
Dimensions ‏ : ‎ 7.5 x 1.23 x 9.4 inches

Best Sellers Rank: #2,360,773 in Books (See Top 100 in Books)
- #1,061 in Business Statistics
- #2,572 in Statistics (Books)
- #4,665 in Probability & Statistics (Books)

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4.3 80 ratings

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Customer reviews

4.3 out of 5

80 global ratings

5 star		58%
4 star		21%
3 star		16%
2 star		2%
1 star		3%

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Rpatel2

Good!

Reviewed in the United States 🇺🇸 on September 25, 2022

Verified Purchase

The condition of the book is very good, however, it’s missing the cd which contains all the data.

Helpful

Purchaser

Easy to read and understand but beware...

Reviewed in the United States 🇺🇸 on February 2, 2020

Verified Purchase

This book is very good for learning linear regression methods. There are many examples provided by the authors and in some cases includes code as well. I have to take away one star though because of the sneaky tactics of the publishers. I bought this book brand new with the CD. It is still new and the CD has not been used, however, I am not allowed to resell the book as new on Amazon because I require permission from the publisher to sell their item as new. Basically, if I want to resell the book on Amazon I have to mark it as used, and that's a horrible disservice to students that are already paying too much for tuition. I would advise any students that need this book brand new with the CD to purchase it from Ebay where you can get it for much cheaper and avoid paying the publishers full price for the item again.

Helpful

floob

A decent book if you actually want to learn about regression analysis

Reviewed in the United States 🇺🇸 on November 22, 2011

Verified Purchase

Cons:
- the book is ridiculously expensive
- there is no decent answer guide (This is its biggest fault)
- some explanations are really thin (The Working-Hotelling confidence band coverage was weak, for example)

Pros:
- If you read carefully, this book clearly explains most everything you want to know.

----

After studying half of this book, and reading maybe 3/4 of it, I'm coming away from it with a practical ability to do simple regression analysis on real-world data. It's truly rare (for me anyhow) to get real-world applicable skills from a textbook, so I think the authors have done a good job.

I recommend you spend the time to learn one or more statistical software packages as you go along and implement all of what's being covered in the book. I'm working through this text with R, SAS, and python, and it wouldn't be anywhere near as practical an exercise without learning the tools that let you easily apply the theory.

On a negative note, as a class text and problem-solving guide I fault the text heavily for not having a decent answer guide. I think offering problems with no way to check any of your work does a great disservice to learners.

But all in all, the text is quite decent.

----

Finally, all of the reviews under 4 stars (as of November 22nd, 2011) are either entirely about the 3rd party shipper or are from students who were uninterested in the material. If you're interested in learning the material and you order from Amazon, you won't have their problems.

26 people found this helpful

Helpful

Better than most textbooks on the topic

Reviewed in the United States 🇺🇸 on September 10, 2009

Verified Purchase

Among books on this topic, this one is pretty good. For those that may not have obtained the material sequentially, the appendix is recommended. I can see some giving it lower marks, as it does not fully treat the topic in terms of matrices. I however, prefer that. There is a one chapter that does go through the matrix math as a review.

I do wish there was a companion answer key for all of the problems in the book. Also, at times, a few of the problems are a bit contrived in the sense that the answer was so odd that you couldn't tell if it was the answer you were suppose to get or if you'd run the regression incorrectly.

2 people found this helpful

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Cassidy

I will keep it forever

Reviewed in the United States 🇺🇸 on September 16, 2018

Verified Purchase

This is the only one of my textbooks I've purchased. While it can be slightly difficult to follow at times, the references make it understandable. Combined with my notes from previous stat classes, this book will be something I keep for reference in later stats work. I completely recommend. Definitely worth the money.

One person found this helpful

Helpful

KesseJ

Popularly accepted regression text book

Reviewed in the United States 🇺🇸 on November 6, 2006

Verified Purchase

I bought this book because I needed it for a class, and I have only used it a few times for the class. It's hard to learn stats from a textbook unless you start at the beginning, but this book is useful to accompany a previously-knowledgeable statistics mind seeking to learn more about regression.

Great book, but probably will not help a rookie to self-teach regression.

One person found this helpful

Helpful

Brooke O. Breaux

Cheaper Versions Available

Reviewed in the United States 🇺🇸 on February 12, 2007

Verified Purchase

This hard-bound text was received in excellent condition and should last for as long as I plan on using it; however, there are cheaper versions (like the international version) that contain exactly the same information (plus additional information about ANOVA designs). I am still happy with my purchase, but if you are low on cash, I would recommend purchasing a different edition of this book.

3 people found this helpful

Helpful

zainab

good book

Reviewed in the United States 🇺🇸 on June 21, 2021

Verified Purchase

good book

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Top reviews from other countries

X. Yin

excellent price, excellent book, but delivery is a little late

Reviewed in Canada 🇨🇦 on June 12, 2010

Verified Purchase

I purchased this book right before my summer class started and received it right after my midterm finished...so the delivery time is a little bit out of my expectation; however the book is in excellent condition ( brand new ) and the price is very good.

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Applied Linear Regression Models 4th Edition

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