Linear Algebra And Matrix Analysis For Statistics(1st Edition)
Authors:
Sudipto Banerjee, Anindya Roy
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
In Stock: 1 Left
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Book details
ISBN: 1420095382, 978-1420095388
Book publisher: Chapman And Hall/CRC
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Customer Reviews
Trusted feedback from verified buyers
WC
Bought this for my statistics course, and it has served me well. I appreciate the pragmatic focus on the application of linear algebra in statistics, which aligns perfectly with my coursework. It wasn't delivered as fast as I expected, but it arrived in mint condition. Would recommend it to those aiming to solidify their foundational knowledge.
CC
This book is a gem! As a graduate student, I found the content to be absolutely invaluable. The examples are very illustrative and the explanations are thorough, which makes complex concepts easier to understand. I also appreciated that the book arrived quickly, just in time for my semester to start. Kudos to whoever packaged it; it was in perfect condition. Highly recommended for anyone serious about linear algebra in statistics.
BO
Got this book with an extra discount thanks to my membership, and it was worth every penny. The author does a magnificent job balancing both theory and practical applications. The exercises at the end of each chapter are challenging but rewarding. It's one of the best resources I've come across in my years studying mathematics. Definitely a must-have for anyone interested in deepening their understanding of matrix analysis.
ET
Good balance between theoretical parts and practical examples. The book provides a sturdy foundation for anyone new to matrix analysis in statistics. Delivery was prompt, and I managed to get a good deal with my membership perks. I only wish it included more advanced topics to cover the transition to higher-level understanding, but it still serves as a very helpful guide for beginners.
AB
It's an okay introduction if you're just starting out, but I felt that some parts lacked depth. Arrived quickly thanks to good shipping service.





























