Projection Matrices Generalized Inverse Matrices And Singular Value Decomposition Statistics For Social And Behavioral Sciences(1st Edition)
Authors:
Haruo Yanai, Kei Takeuchi , Yoshio Takane
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1461428599, 978-1461428596
Book publisher: Springer
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Customer Reviews
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IH
I'm genuinely impressed by this book's in-depth exploration of projection matrices and generalized inverse matrices. It's not often you find a textbook that balances theory with practical applications for social and behavioral sciences. The explanations are crisp and the examples are top-notch, making complex concepts feel accessible. Plus, it arrived super fast and in perfect condition. Highly recommended for anyone diving into statistics with a focus on behavioral data! And I took advantage of my membership discount, which was a neat bonus!
EC
This book is incredibly useful for those trying to understand dense statistical methods applied in social sciences. The author does an excellent job of demystifying the processes behind singular value decomposition with illustrative examples. I appreciated how my order arrived swiftly and packaged securely. However, it could be a bit overwhelming for beginners without some prior knowledge. That said, it’s definitely worth it for someone looking to deepen their understanding.
CK
As a student in behavioral sciences, this book has been indispensable to my learning process. It combines theoretical underpinnings with practical applications nicely. Although I wished it included more real-world case studies, it still serves as a good reference material. Also, taking advantage of my subscription discount was a definite plus! The delivery was timely and the book was well-protected in transit.






























