Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
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 wavel…
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Produktdetails
Weitere Autoren: Huang, Yongxiang
- ISBN: 978-1-107-06761-5
- EAN: 9781107067615
- Produktnummer: 21416118
- Verlag: Cambridge
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 226 S.
- Masse: H25.4 cm x B17.7 cm x D1.7 cm 598 g
- Gewicht: 598
Über den Autor
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.
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