Generalized Linear Models A Bayesian Perspective(1st Edition)
Authors:
Dipak K. Dey, Sujit K. Ghosh, Bani K. Mallick
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 0367398605, 9780367398606
Book publisher: CRC Press
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Customer Reviews
Trusted feedback from verified buyers
MC
This book provides a comprehensive overview of GLMs from a Bayesian perspective, and I found it to be a solid resource. It's packed with a mix of theoretical insights and practical examples. Some sections were a bit dense, but overall, the content is well-organized. My only gripe would be that a few more real-world case studies would have been helpful. The shipping was swift and the package arrived without any issues. Certainly worth the buy for its well-rounded approach!
DN
This book is a gem for anyone diving into the world of Bayesian statistics. The explanations are clear and concise, and the examples are practical. I was particularly impressed with the depth of coverage on generalized linear models. Whether you're a beginner or someone with more experience, this book will expand your understanding. Plus, it arrived quickly and was well-packaged, ensuring it was in perfect condition when it got to me. Highly recommended for anyone serious about statistical modeling!
PH
Outstanding book! While I initially purchased it as a reference for a course, it quickly became a core part of my toolkit. The authors do a fantastic job explaining complex concepts with ease and provide a rich assortment of examples that make the theories applicable to real-world problems. As a bonus, I received an extra discount with my Prime subscription, which was the cherry on top.
NP
The book provides a fair introduction to Bayesian GLMs. Although informative, I felt it occasionally lacked clarity in some advanced topics.





























