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portada Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications
Type
Physical Book
Author
Publisher
Language
English
Pages
226
Format
Hardcover
Dimensions
25.1x18x1.6 cm
Weight
0.60 kg.
ISBN13
9781107067615
Categories

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

François G. Schmitt (Author) · Yongxiang Huang (Author) · Cambridge University Press · Hardcover

Stochastic Analysis of Scaling Time Series: From Turbulence Theory to Applications - Schmitt, François G. ; Huang, Yongxiang

New Book Imported to South Africa
Delivery: 03 Nov - 11 Nov Shipping: 5 to 6 business days.
R 1,806
R 1,806

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Synopsis "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 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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