Nonparametric Functional Data Analysis Theory And Practice(1st Edition)
Authors:
Frédéric Ferraty , Philippe Vieu
Type:Hardcover/ PaperBack / Loose Leaf
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Book details
ISBN: 1441921419, 978-1441921413
Book publisher: Springer
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Customer Reviews
Trusted feedback from verified buyers
BG
This book isn't for everyone, especially if you're new to functional data analysis, but it's an invaluable reference for more advanced practitioners. Ordered it with an express shipping option, and it was delivered to my door faster than expected. The packaging was solid, keeping the book intact. Yet, it's heavy on the math, which kept me from giving it 5 stars. On the whole, it's an informative read!
HP
I bought this book with a member discount, and it has been a worthwhile investment. It covers much of the intricate theory behind nonparametric functional data analysis, but it’s the practical examples that bring it all together. One thing to note, however, is that beginners might find some parts a bit dense. Nevertheless, it's well-organized, and the explanations are clear. I can see myself referring back to this book often. Would benefit from more varied case studies to see broader applications.
DB
This book is a must-have for anyone deeply involved in data analytics. The way it breaks down nonparametric methods for functional data is truly insightful. As someone working in data science, I found the examples extremely valuable. The book arrived quickly and in perfect condition, thanks to the fast shipping. It goes into great depth while maintaining clarity, which is no easy feat. If you're serious about expanding your knowledge in this area, this is the resource you need.





























