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[N325.Ebook] Free PDF Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

Free PDF Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

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Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li



Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

Free PDF Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

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Applied Linear Statistical Models, by Michael Kutner, Christopher Nachtsheim, John Neter, William Li

Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling, analysis of variance, and the design of experiments. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text proceeds through linear and nonlinear regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Comments" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, projects, and case studies are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and the use of automated software without loss of understanding.

  • Sales Rank: #712159 in Books
  • Brand: McGraw-Hill Irwin
  • Published on: 2004-08-10
  • Ingredients: Example Ingredients
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.40" h x 2.30" w x 7.80" l, 5.56 pounds
  • Binding: Hardcover
  • 1396 pages

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 at Minneapolis.

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

Most helpful customer reviews

0 of 0 people found the following review helpful.
The examples in the book are thorough and easy to follow
By zach
This book covers so much knowledge. The book takes an algebraic approach to most topics and shies away from the matrix algebra approach used by so many other books. The examples in the book are thorough and easy to follow. This book is really only about linear regression and ANOVA (one-way, two-way, MANOVA, mixed effects, etc.) models with a few other topics thrown in. The book is organized well and thorough.

The only pitfall is it uses MINITAB. I wish it used R instead.

2 of 2 people found the following review helpful.
high quality book from smiling_bookstore
By L. WANG
The content of the book rates 5 star, no doubt. For details, please check the numerous reviews for the US version of the book here at amazon.

This review is more about the quality of the international version of the book, which has the exact same content as the US version, but with a paperback and printed on different kinds of paper. As there are many possible different prints from different countries, the quality is always a question mark.

The copy I received from the third party seller "smiling_bookstore ;-)" was printed in Singapore. The book is on high quality paper with crystal clear print. I am very happy with my purchase. Moreover, the book was delivered by DHL worldwide express to US from oversea within three days of my placing the order, very impressive.

1 of 1 people found the following review helpful.
I'm only into chapter 2 and I really like the way the book is laid out
By Richard U. Newell
I'm only into chapter 2 and I really like the way the book is laid out. Good examples and clear explanations and proofs regarding what is going on. I agree with other reviewers that you are going to want to take an introductory statistics class at a minimum, and preferably including some calculus-based probability. But once you have that background, this book will help you get to the next level. If anyone refers to this as a statistical "bible", they aren't kidding.

See all 55 customer reviews...

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