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Applied Linear Statistical Models w/Student CD-ROM [Paperback]

Michael H. Kutner (Author), John Neter (Author), Christopher J. Nachtsheim (Author), William Li (Author)
3.9 out of 5 stars  See all reviews (21 customer reviews)


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Book Description

0071122214 978-0071122214 November 2004 5th International
"Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through 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 "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 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 where methods can be automated within software without loss of understanding, it is so done.


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 at Minneapolis.

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

--This text refers to the Hardcover edition.

Product Details

  • Paperback
  • Publisher: McGraw-Hill Education; 5th International edition (November 2004)
  • Language: English
  • ISBN-10: 0071122214
  • ISBN-13: 978-0071122214
  • Product Dimensions: 9.1 x 7.4 x 2 inches
  • Shipping Weight: 4.7 pounds
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (21 customer reviews)
  • Amazon Best Sellers Rank: #34,464 in Books (See Top 100 in Books)

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Customer Reviews

21 Reviews
5 star:
 (10)
4 star:
 (5)
3 star:
 (1)
2 star:
 (3)
1 star:
 (2)
 
 
 
 
 
Average Customer Review
3.9 out of 5 stars (21 customer reviews)
 
 
 
 
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20 of 21 people found the following review helpful:
5.0 out of 5 stars Super !, January 9, 2007
This review is from: Applied Linear Statistical Models w/Student CD-ROM (Paperback)
This book if not for business majors , engineering students and psycology students.

This is an EXCELLENT book for statistics undergrad/grad and PhD students.
I spent over 10 hours weekly just reading the book every week. Plus my assignments will take another 10 hours . So be prepared for a 20 hr week.
YOU NEED TO TAKE A BASIC STAT / INTRO STAT course before this. If you dont know the meaning of P-values , T-test , F-test , DO NOT TAKE THIS COURSE. This book will not introduce you to those things. Unfortunately many buiness schools ( including top 10 ) dont offer a good intro stat course, so buiness majors jumping in to this course is a wrong idea.

This book is also a "good to own book". The first 15 or so chapters has regression and the second half ( next 15 chapters ) has DOE (design of experiments). GREAT BOOK !

One piece of advice - make sure you learn to use SAS with this course . In real world applications many industries are using SAS. Even if your teacher insists on using R package / splus , YOU MAKE SURE YOU know how to do those things in SAS . There is a SAS student manual with this book, specially written for this book . buy it ISBN - 0-07-302177-6

good luck !

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13 of 14 people found the following review helpful:
5.0 out of 5 stars Not the wrong title, December 20, 2005
I would like to point out that these authors have two books with similar titles. One is Applied Linear Regression Models which is in the 4th edition. The other is Applied Linear Statistical Models which is in the 5th edition. The statistical models book covers more than linear regression.

Both are excellent.
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13 of 14 people found the following review helpful:
4.0 out of 5 stars Expensive, February 10, 2004
This is actually a pretty good book for a first course in regression analysis, examples are easy to understand and detailed.

The only bad thing about this book is its price, I also bought the Applied Linear Statistical Models from my friend. He told me that book cost less than this one and it is. That book includes all the pages this book has but with 2nd half of the book on experimental design topics. It's 2 times thicker but much cheaper, and by the same author. Just the publisher that is different.

If it wasn't that pricy, I would give a 5.

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