| Wavelets in Functional Data Analysis 2017 Edition Contributor(s): Morettin, Pedro A. (Author), Pinheiro, Aluísio (Author), Vidakovic, Brani (Author) |
|
 |
ISBN: 3319596225 ISBN-13: 9783319596228 Publisher: Springer OUR PRICE: $66.49 Product Type: Paperback - Other Formats Published: November 2017 |
| Additional Information |
| BISAC Categories: - Mathematics | Functional Analysis - Mathematics | Probability & Statistics - General - Mathematics | Applied |
| Dewey: 003.3 |
| Series: Springerbriefs in Mathematics |
| Physical Information: 0.24" H x 6.14" W x 9.21" (0.38 lbs) 106 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |