Get Free Ebook Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences)

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Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences)

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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.

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Product details

Hardcover: 701 pages

Publisher: McGraw-Hill Education; 4 edition (January 8, 2004)

Language: English

ISBN-10: 0073014664

ISBN-13: 978-0073014661

Product Dimensions:

7.7 x 1.4 x 9.4 inches

Shipping Weight: 2.7 pounds (View shipping rates and policies)

Average Customer Review:

4.0 out of 5 stars

39 customer reviews

Amazon Best Sellers Rank:

#213,499 in Books (See Top 100 in Books)

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.

I am very disappointed in the quality of this textbook. While the price of renting was reasonable, I was not expecting to be shipped a book in such rough condition. As shown in the pictures, there is a cut on the front cover, and the spine is nearly detached from the spine. My main purpose in leaving this review is to document the initial state of this book. I do not want to be charged for the poor condition!

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.

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.

I used this in one of my statistics courses. It's good but not great. The practice problems are fine and the teachings ok, but I don't remember finding anything exceptionally well done within this book. (Also I would consider the international edition.) I believe they are practically the same. My friend used the international edition and it worked great for him.

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.

Very readable for a statistics book. The only thing I did not like was the notation the authors use in several areas can be confusing.

This was a required text for a statistics class. It is difficult to understand, however, this is true for me of most statistics books.

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Applied Linear Regression Models- 4th Edition with Student CD (McGraw Hill/Irwin Series: Operations and Decision Sciences) PDF