Wavelet Methods in Statistics with R
Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2008. |
| Serie: | Use R!
|
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Wavelet Methods in Statistics with R, Texte imprimé, 9780387567556 • Wavelet methods in statistics with R, G. P. Nason, 2008, New York (N.Y.), Springer, 1 vol. (X-257 p.), Use R!, 978-0-387-75960-9 |
Sommario:
- Wavelets, discrete wavelet transforms, non-decimated transforms, wavelet packet transforms, lifting transforms Multiscale methods for denoising (wavelet shrinkage) Locally stationary wavelet time series and texture modelling Multiscale variable transformations for Gaussianization and variance stabilization Miscellaneous topics.