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 : Applied Regression Analysis and Multivariable Methods (Duxbury Applied)

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Binding: Hardcover
Dewey Decimal Number: 519
EAN: 9780495384960
Edition: 4
ISBN: 0495384968
Label: Duxbury Press
Manufacturer: Duxbury Press
Number Of Items: 1
Number Of Pages: 784
Publication Date: April 23, 2007
Publisher: Duxbury Press
Studio: Duxbury Press




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Editorial Review:

Product Description:
This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques.



Customer Reviews
Average Rating:  out of 5 stars

Rating: 1 out of 5 stars - Just numbers and formulas
This book is really difficult to understand because there are no real explanation. There are a ton of symbols and formulas that are not explained at all. Mostly, this book just shows how certain formulas were derived from others. Our prof did not like this book either, so she gave us her own notes...but even as reference, it is terrible!



Rating: 1 out of 5 stars - Very confusing
I am lucky that I had such a great professor for my statistics class. Unfortunately, although he's great at teaching the material in class, he doesn't have great acumen in choosing textbooks. This book honestly made me way more confused than I otherwise would have been and is one of the worst textbooks I've ever had. First, the layout jams a lot of formulas without giving you enough specifics on how and when to apply them. Second, the authors have a talent for making straight forward stuff confusing. ... Read More



Rating: 2 out of 5 stars - Not that great
I was surprised when I took this class that I did not like this book. All of my epid profs highly recommended this text. You have to flip back and forth when you are doing the problems because they list the SAS output that you need once in one chapter. I know it saves space, but this can get maddening. I did not find the examples clearly written at all-the lack of fit test, and some of the stuff about partial F tests could have used a few more sentences.

No, I cannot write a glowing ... Read More



Rating: 5 out of 5 stars - Super Book
I have used this book from first edition in the early 1980's in grad school to lastest edition in 2003. A very good book, designed to be used with statistical software. The authors understand the field and provide a thorough yet concise perspective of mainly regression and ANOVA models. An absolute must book for the applied statistician.



Rating: 5 out of 5 stars - Excellent Introduction to Linear Regression
I used this book for a second level statistics course for my Master's degree in Epidemiology. I liked it!

All the underlying math you want to know is sitting on the pages, clearly explained though examples with computer output and graphs. I worked through the problems in the text without difficulty and reproduced their work. I understood what I was doing. Each chapter is followed by a series of problems. You probably want to get a solutions manual if you want to check your answers.

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