Applied Linear Regression Models
by John Neter, Michael H Kutner, William Wasserman, Christopher J. Nachtsheim
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Book Summary Information
Author: Christopher J. Nachtsheim, John Neter, Michael H Kutner, William WassermanEdition: Hardcover
Audio: English (Original Language); English (Unknown); English (Published)
Published: 1996-01-01
ISBN: 025608601X
Number of pages: 720
Publisher: McGraw-Hill/Irwin
Book Reviews of Applied Linear Regression Models
Book Review: Excellent Book for Classes and Self-study
Summary: 5 Stars
I used this book for my statistic class. After thoroughly reading this book, I become quite familiar with the subject matter.
1. The explanations in most parts are so clear and easy to understand. A few small sections are difficult, but they are not essential topics for this book. If you think the book is not intuitive, use Peter Kennedy's A Guide to Econometrics (5th edition) as complementary reading.
2. You can find all the corresponding SAS programs on the Internet. Do the exercises with SAS, otherwise you will learn nothing. If you don't know SAS, read Delwiche and Slaughter's The Little SAS Book (3rd edition) or SAS Online Tutor for Base Programming.
3. If you are not familiar with basic statistic concepts, read the appendices of the book first.
4. The book is sufficient and easily understood for what it contains. If you want more and deeper information, use other books to complement it.
Summary of Applied Linear Regression Models
Applied Linear Regression Models was listed in the newsletter of the Decision Sciences Institute as a classic in its field and a text that should be on every member's shelf. The third edition continues this tradition. It is a successful blend of theory and application. The authors have taken an applied approach, and emphasize understanding concepts; this text demonstrates their approach trough worked-out examples. Sufficient theory is provided so that applications of regression analysis can be carried out with understanding. John Neter is past president of the Decision Science Institute, and Michael Kutner is a top statistician in the health and life sciences area. Applied Linear Regression Models should be sold into the one-term course that focuses on regression models and applications. This is likely to be required for undergraduate and graduate students majoring in allied health, business, economics, and life sciences.Statistics Books
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