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Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications - Couverture rigide

Schmitt, François G.; Huang, Yongxiang

 
9781107067615: Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Couverture rigide
ISBN 10 : 1107067618 ISBN 13 : 9781107067615
Editeur : Cambridge University Press, 2016

Synopsis

Multi-scale systems, involving complex interacting processes that occur over a range of temporal and spatial scales, are present in a broad range of disciplines. Several methodologies exist to retrieve this multi-scale information from a given time series; however, each method has its own limitations. This book presents the mathematical theory behind the stochastic analysis of scaling time series, including a general historical introduction to the problem of intermittency in turbulence, as well as how to implement this analysis for a range of different applications. Covering a variety of statistical methods, such as Fourier analysis and wavelet transforms, it provides readers with a thorough understanding of the techniques and when to apply them. New techniques to analyse stochastic processes, including empirical mode decomposition, are also explored. Case studies, in turbulence and ocean sciences, are used to demonstrate how these statistical methods can be applied in practice, for students and researchers.

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À propos des auteurs

François G. Schmitt is Research Professor in the Laboratory of Oceanography and Geosciences at the Centre National de la Recherche Scientifique (CNRS), France. His research interests include turbulence and nonlinear variability in geophysics, marine turbulence, and multifractal analysis and modelling.

Yongxiang Huang is Associate Professor in the State Key Laboratory of Marine Environmental Science at Xiamen University, China. He was awarded the 2013 Division Outstanding Young Scientists Award by the European Geosciences Union in Nonlinear Processes in Geosciences.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2016
Langue
anglais
ISBN 10 
1107067618
ISBN 13 
9781107067615
Reliure
Relié
Nombre de pages
226
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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