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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nason, Guy (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Use R!,
Temas:
Probabilities.
Statistics .
Econometrics.
Bioinformatics.
Psychometrics.
Data mining.
Probability Theory.
Statistical Theory and Methods.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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