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 | | Applied Linear Regression Models by John Neter, Michael H Kutner, William Wasserman, Christopher J. Nachtsheim ISBN-10: 9780256086010 ISBN-10: 0-256-08601-X ISBN-13: 9780256086010 ISBN-13: 978-0-256-08601-0 Hardcover 1996-01-01 McGraw-Hill/Irwin Find Lowest Price |
Editorials | ||
Product Description 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. | ||
Reviews | ||
Excellent Book for Classes and Self-study 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. | ||
very good 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! | ||
Must have reference 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. | ||
Cheaper Versions Available This hard-bound text was received in excellent condition and should last for as long as I plan on using it; however, there are cheaper versions (like the international version) that contain exactly the same information (plus additional information about ANOVA designs). I am still happy with my purchase, but if you are low on cash, I would recommend purchasing a different edition of this book. | ||
the author don't know how to express in simple language the author don't know how to express in simple and understandable language, although he know very well in this major. I have already read some other books of this major, it is still confusing me a lot to understand some sentences in this book. | ||