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Applied Regression Analysis and Multivariable Methods


Applied Regression Analysis and Multivariable Methods  
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Binding: Hardcover
Dewey Decimal Number: 519.536
EAN: 9780534209100
Edition: 3
ISBN: 0534209106
Label: Duxbury Press
Manufacturer: Duxbury Press
Number Of Items: 1
Number Of Pages: 816
Publication Date: September 15, 1997
Publisher: Duxbury Press
Studio: Duxbury Press


Related Items: Featured Listmania! Editorial Review:
Regression students will appreciate this best-seller's modern, practical approach and its use of real-life problems. The third edition offers a significant shift in emphasis from calculation to interpretation, by replacing computational formulas with computer printouts in SAS®. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with the computer. Appropriate for statistics, biostatistics, mathematics, psychology, sociology, business, and industrial engineering students or anyone who intends to use regression analysis in their work, this text offers a traditional structure with a modern flavor. The authors emphasize model development; the intuitive logic and assumptions that underlie the techniques covered as well as the purposes, advantages and disadvantages, and valid interpretations of those techniques.

Customer Reviews
Average Rating:  out of 5 stars

Rating:  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:  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:  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:  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:  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.
The material ... Read More


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