Wavelets in Functional Data Analysis
Series: SpringerBriefs in Mathematics;
- Publisher's listprice EUR 69.54
-
29 498 Ft (28 094 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 2 360 Ft off)
- Discounted price 27 139 Ft (25 846 Ft + 5% VAT)
29 498 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1st ed. 2017
- Publisher Springer
- Date of Publication 23 November 2017
- Number of Volumes 1 pieces, Book
- ISBN 9783319596228
- Binding Paperback
- No. of pages106 pages
- Size 235x155 mm
- Weight 1883 g
- Language English
- Illustrations 19 Illustrations, black & white; 25 Illustrations, color 0
Categories
Short description:
Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein?s Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.
MoreLong description:
Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science. This book presents wavelets in functional data analysis, offering a glimpse of problems in which they can be applied, including tumor analysis, functional magnetic resonance and meteorological data. Starting with the Haar wavelet, the authors explore myriad families of wavelets and how they can be used. High-dimensional data visualization (using Andrews' plots), wavelet shrinkage (a simple, yet powerful, procedure for nonparametric models) and a selection of estimation and testing techniques (including a discussion on Stein?s Paradox) make this a highly valuable resource for graduate students and experienced researchers alike.
?This book is short and offers quick reference on common techniques for application of wavelets on functional data analysis using some real data examples. The authors have provided code examples in Matlab for some of the methods discussed in this book. ? this is a useful book for quick reference for researchers in this field.? (Abhirup Mallik, Technometrics, Vol. 60 (3), 2018)? More
Table of Contents:
Preface.- Introduction Examples of Functional Data.- Wavelets.- Wavelet Shrinkage.- Wavelet-based Andrews Plots.- Functional ANOVA.- Further topics.
More
Wavelets in Functional Data Analysis
Subcribe now and receive a favourable price.
Subscribe
29 498 HUF
