Modern Multivariate Statistical Techniques Regression Classification And Manifold Learning(1st Edition)

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Alan J. Izenman

Free Modern Multivariate Statistical Techniques Regression Classification And Manifold Learning1st EditionAlan J. Izenman0387781889, 978-0387781884
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ISBN: 0387781889, 978-0387781884

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Customer Reviews

Trusted feedback from verified buyers

LP
Lillian Pearson
5.0
Reviewed In United States United States • September 12, 2023
This book is a comprehensive guide that covers everything from regression analysis to manifold learning. As a data science enthusiast, I found the examples provided to be exceptionally useful, bridging the gap between theory and practice. The depth of coverage is suitable for both beginners and seasoned statisticians. Plus, my copy arrived ahead of schedule due to my prime membership, which was a nice bonus!
MB
Martin Barber
4.0
Reviewed In United States United States • August 5, 2023
A solid introduction to multivariate statistics, offering a good mix of theoretical background and practical application. While some sections might be dense for beginners, persistence pays off. Benefited from an extra discount through my online subscription, which was a pleasant surprise. Overall, a worthwhile read for anyone looking to expand their knowledge in this domain.
TS
Trevor Simmons
5.0
Reviewed In United States United States • July 21, 2023
If you're delving into multivariate statistical techniques, look no further. The book is well-structured, making complex concepts accessible without oversimplifying. The author skillfully navigates through advanced topics, ensuring clarity in explanations. I loved how the real-world applications were highlighted. Delivery was prompt, and the book was well-protected in its packaging. Absolute gem in my collection!
MM
Mia Morton
3.0
Reviewed In United States United States • June 30, 2023
The book provides a thorough introduction, but some areas are quite dense, which might be challenging if you're new to these concepts. Yet, it's a decent overall read.

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