<< 1 >>
Rating: 
Summary: Applied Regression Including Computing and Graphics (Wiley S
Review: Basicly, this textbook is too confined in the context of the software Arc. And I think this software isn't useful at all beyond the textbook. This textbook is not well-organized logically, and it doesn't state well the reasons of some methods and algorithms and how they come, and it has some concluson that are built upon nothing. Besides, it takes a lot of time and efforts to sort through the many useless words, sometime you just feel that the authors are just trying to increase the volume. There are some good methods, but the textbook state it in a way that after some time, you won't even think of what they are about. I think it should be more general, more reasonable, more well-organized and clearly-narrated. Anyway, it might be good for a beginner of regression.
Rating: 
Summary: mainly a book about Arc, not applied regression.
Review: Basicly, this textbook is too confined in the context of the software Arc. And I think this software isn't useful at all beyond the textbook. This textbook is not well-organized logically, and it doesn't state well the reasons of some methods and algorithms and how they come, and it has some concluson that are built upon nothing. Besides, it takes a lot of time and efforts to sort through the many useless words, sometime you just feel that the authors are just trying to increase the volume. There are some good methods, but the textbook state it in a way that after some time, you won't even think of what they are about. I think it should be more general, more reasonable, more well-organized and clearly-narrated. Anyway, it might be good for a beginner of regression.
Rating: 
Summary: Good coverage of a large topic
Review: Cook and Weisberg provide good coverage of such a large topic. Unlike Weisberg's Applied Linear Regression book, this book goes into more theoretical detail. However, the mathematical aspects are left to the end of each chapter so the reader that's not interested in details will not have to wade through pages of equations.
Rating:
Summary: Excellent text
Review: Dennis Cook and Sandy Weisberg have written a number of excellent books on regression analysis (jointly and separately). The most recent Wiley books attempt to provide an integrated approach to regression analysis based on graphical methods. Cooks other book deals with the theory. This one is more detailed with examples and is more applications oriented but the philosophy of the two books is the same.
Rating:
Summary: Excellent text
Review: I used Cook/Weisberg's book to teach a required graduate data analysis class. Students found the text easy to understand. In previous classes they had used S-Plus; they raved about how easy ARC was to use --- especially since they could download it for free and use it after graudation without licensing. I found the statistics and mathematics clearly presented and the examples useful. Several of the students used ARC for the data analysis for their theses. This is a great teaching book with a fabulous software package supporting it, by two of the best statisticians in the world. I disagree strongly with the previous reviewer: this is much much more than a software manual. It is first a world class regression text, and secondly it supports the new methods with first-rate freeware. Who could complain? Disclaimer: I studied under both Cook and Weisberg at Minnesota, have taught using previous versions of their books, and contributed data sets for this book.
Rating:
Summary: Applied Regression Including Computing and Graphics (Wiley S
Review: When you touch the cover of the book, you feel the recent trend of regression. I bet you will and you should. It covers most of recent topics in 90's. ARC is a superb software and it provides so many excellent features and tools to look into the real aspects of data analysis. It is also easy enough for beginners to follow the steps. I tried this for the textbook for my class last semester. My students loved it so much that some of them decided to pursue their career as a statistician. But many statisticians don't appreciate what is the real value of the book. Too bad.
<< 1 >>
| 
