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Nonlinear Time Series Analysis

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The time variability of many natural and social phenomena is not well described by standard methods of data analysis. However, nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand seemingly unpredictable behavior. The results are applied to real data from physics, biology, medicine, and engineering in this volume. Researchers from all experimental disciplines, including physics, the life sciences, and the economy, will find the work helpful in the analysis of real world systems. First Edition Hb (1997): 0-521-55144-7 First Edition Pb (1997): 0-521-65387-8

Author(s): Holger Kantz, Thomas Schreiber
Edition: 2nd ed
Publisher: Cambridge University Press
Year: 2004

Language: English
Pages: 388
City: Cambridge, UK; New York