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Scaling collapse and structure functions: identifying self-affinity in finite length time series

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UNSPECIFIED. (2005) Scaling collapse and structure functions: identifying self-affinity in finite length time series. NONLINEAR PROCESSES IN GEOPHYSICS, 12 (6). pp. 767-774. ISSN 1023-5809

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Abstract

Empirical determination of the scaling properties and exponents of time series presents a formidable challenge in testing, and developing, a theoretical understanding of turbulence and other out-of-equilibrium phenomena. We discuss the special case of self affine time series in the context of a stochastic process. We highlight two complementary approaches to the differenced variable of the data: i) attempting a scaling collapse of the Probability Density Functions which should then be well described by the solution of the corresponding Fokker-Planck equation and ii) using structure functions to determine the scaling properties of the higher order moments. We consider a method of conditioning that recovers the underlying self affine scaling in a finite length time series, and illustrate it using a Levy flight.

Item Type: Journal Article
Subjects: Q Science > QE Geology
Journal or Publication Title: NONLINEAR PROCESSES IN GEOPHYSICS
Publisher: EUROPEAN GEOSCIENCES UNION
ISSN: 1023-5809
Date: 2005
Volume: 12
Number: 6
Number of Pages: 8
Page Range: pp. 767-774
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/33986

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