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

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

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Authors: Michael H Kutner, Christopher J. Nachtsheim, John Neter
Publisher: McGraw-Hill/Irwin
Category: Book

Buy New: $115.76



New (13) Used (9) from $115.76

Rating: 4.0 out of 5 stars 12 reviews
Sales Rank: 34382

Media: Hardcover
Edition: 4
Pages: 701
Number Of Items: 1
Shipping Weight (lbs): 2.7
Dimensions (in): 9.4 x 7.6 x 1.2

ISBN: 0073014664
Dewey Decimal Number: 310
EAN: 9780073014661

Publication Date: January 8, 2004
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
Condition: Inventory subject to prior sale. Expedited orders cannot be sent to PO Box. Sorry, not able to ship to APO, FPO, Alaska, and Hawaii.

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  • Solutions Manual for Applied Linear Regression Models
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  • Applied Statistics and the SAS Programming Language (5th Edition)
  • Statistical Inference
  • Introduction to Mathematical Statistics

Editorial Reviews:

Product Description

Thoroughly updated and more straightforward than ever, Applied Linear Regression Models includes the latest statistics, developments, and methods in multicategory logistic regression; expanded treatment of diagnostics for logistic regression; a more powerful Levene test; and more. Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.




Customer Reviews:   Read 7 more reviews...

5 out of 5 stars Not the wrong title   December 20, 2005
Carter Rees
7 out of 8 found this review helpful

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.



5 out of 5 stars Super !   January 9, 2007
Rag Ven (Michigan)
7 out of 7 found this review helpful

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 !




5 out of 5 stars Must have reference   February 16, 2007
Staats (Midwest, USA)
2 out of 2 found this review helpful

If you are going to spend money, buy the best. This book is the best and IS the standard. I'd consider this the "Gray's Anatomy" of Applied Linear Statiscal Models (i.e. Design of Experiments, Regression, hypothesis testing).

This book is geared for an entry level masters or 400 level student. If you don't fall into this category, this could be worthwhile, just know you'll need to put more time in to learn the material...or...you could get a book geared toward your level. Vardeman's applied statistics for engineers would be one that comes to mind for subject matter that is geared for knowledge below KNNW's Applied Linear Statistical Models.

Bottom line is that this is a must have in anyone's library who is going to do statistical analysis using linear models. It's one of my (and most of my co-workers) go to books if we need to refresh on a quick method to approach a problem.

All in all, it covers all the basics and for the money is a great applied book.



5 out of 5 stars Can't I receive 'Student Solutions Manual'?   July 10, 1997
6 out of 13 found this review helpful

I'm a senior, business administration, Yonsei Univ. in Korea. I'm studying Regression Analysis with this book. This book is easy for students specilizing in other fields to understand Regression Analysis. Very good. I could understand Regression Analysis easily because all theorems are proved in the level of introductory statistics. There are, however, no solutions of problems. In preface I read that instructors may order from the publisher, Irwin, copies of the Student Solutions Manual. Can't a student like me studying by himself receive 'Student Solutions Manual'? I'm eager to check my solutions. I don't want to stop to study Regression Analysis


5 out of 5 stars very good   February 13, 2008
Areum Kim
0 out of 1 found this review helpful

The sender emailed when the book was sent. So it was very easy to check what's going on. The book came on time with a good shape. I really liked how the sender handled it! thanks!

 

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