Nonparametric Regression And Spline Smoothing(2nd Edition)

Authors:

Randall L. Eubank

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 0367579219, 9780367579210

Book publisher: CRC Press

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Customer Reviews

Trusted feedback from verified buyers

AP
Autumn Pratt
4.0
As a data scientist, having solid resources on spline smoothing is essential, and this book definitely delivers. It presents a good narrative and the authors' expertise is evident. I particularly appreciated how they handled the transition from simpler concepts to more complex applications. Managed to nab it with a membership discount as well! All in all, a very worthwhile read.
BS
Brandon Sutton
3.0
The book is quite informative but can delve too deeply into technical minutiae at times, making it a bit challenging for beginners to follow. Good for an overview, but make sure you're ready for some complex stuff. The delivery was swift though!
CP
Clare Pratt
5.0
Nonparametric Regression And Spline Smoothing is a fantastic resource. The authors have done an amazing job simplifying complex concepts. The step-by-step explanations and examples are invaluable, especially for those of us not deeply entrenched in statistcal theory. It covers both the why and the how which is exactly what I needed. I got an extra discount with my subscription, which was a nice plus. Also, the book arrived quickly and in pristine condition. Highly recommend for students and professionals alike!
HB
Hazel Bowen
5.0
An excellent resource for anyone involved in statistical modeling or data analysis. The depth and breadth covered in Nonparametric Regression And Spline Smoothing is impressive. As someone who regularly applies these techniques in practice, I found the examples particularly helpful to better understand application contexts. The book's arrival was timely and the packaging was adequate to keep it damage-free.
IR
Isla Randall
4.0
This book provides a comprehensive mix of theoretical insights and practical applications. Spline smoothing is well covered with clear explanations that have certainly helped in my projects. I did find some sections a bit dense, but that's par for the course with such technical topics. Despite that, it's a valuable asset in my library. Delighted to receive it so promptly!