Interaction Effects In Linear And Generalized Linear Models(1st Edition)
Authors:
Robert L. Kaufman
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 1 Left
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Book details
ISBN: 150636537X, 9781506365374
Book publisher: SAGE Publications, Inc
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Customer Reviews
Trusted feedback from verified buyers
BH
The book provides a good balance of theory and practice, making it a valuable resource for practitioners and academics alike. Enjoyed the detailed sections on linear models which were very beneficial for my project. However, I wish there was an online companion or more interactive materials available. Used my subscription for an extra discount, which made it a good deal!
FH
This book is an outstanding resource for anyone looking to deepen their understanding of interaction effects in linear and generalized linear models. The explanations are crystal clear, making complex concepts much more approachable. I also appreciated the way real-world examples were used to illustrate theoretical points. It arrived quickly and in perfect condition—thanks to the reliable delivery service! Highly recommended for both students and professionals.
RP
As a data analyst, I found this book incredibly useful. The inclusion of numerous examples helps to really cement the material. The complex interactions are explained thoroughly and are quite digestible even for those who might not be overly familiar with statistical analysis. I got an extra discount with my membership, which was a bonus!
CK
This book serves as a very helpful guide for any student tackling interaction effects. The theory is well-balanced with practical applications, making it easier to apply the content to real-world scenarios. It was delivered promptly and securely packaged, avoiding any damage. While the book was comprehensive, a bit more detail in the generalized examples would have been appreciated.
CB
Arrived on time. The book offers a decent introduction, but I found that it skimmed over some advanced topics I was particularly interested in. It's great for beginners, but if you're looking for deep dives into complex modeling scenarios, you might need supplemental materials.





























