Discrete Discriminant Analysis(1st Edition)
Authors:
Matthew Dillon, William R.; Goldstein
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 1 Left
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Book details
ISBN: 047104167X, 978-0471041672
Book publisher: Wiley
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Customer Reviews
Trusted feedback from verified buyers
WP
Discrete Discriminant Analysis is well-organized with clear explanations throughout. It effectively bridges the gap between theory and application, making it useful for both students and professionals. Some parts may require a slow read for full comprehension, but the effort is worth it. Delivery was seamless, got it via my university's expedited service, earning a discount as part of my academic membership. Truly valuable!
GC
I found 'Discrete Discriminant Analysis' to be an invaluable resource. The theory is well-explained and is balanced with practical examples that aid in understanding. However, some sections could benefit from more detailed explanations, particularly for beginners. Still, a solid book that I find myself referring to often. Delivery was swift, and the book was in pristine condition.
BC
The book serves as a decent introduction to the subject but does fall short in a few areas, notably in the depth of examples provided. While it covers the basics thoroughly, those looking for advanced insights might need additional resources. The writing is clear, though at times too technical for casual readers. Thankfully, it arrived quickly, and I got a little discount through my membership.
BT
This book is a fantastic resource for anyone delving into discrete discriminant analysis. The author not only covers the foundational concepts in great detail but also includes a wealth of examples that make the content applicable to real-world scenarios. I particularly appreciated the chapter on practical applications, which was both insightful and engaging. Got an extra discount with my subscription, and it arrived promptly, well-packaged. Highly recommended for statisticians and data scientists!
LC
An excellent resource for learners at any stage. From foundational concepts to advanced analysis, it's all covered comprehensively. Delivery was fast, and everything was packaged to perfection. I couldn't have asked for more from a textbook. Includes great examples that elevate the learning experience significantly. If you're in data science, this book is a must-have.





























