Nonlinear Time Series Analysis

✍ Scribed by Holger Kantz, Thomas Schreiber

Publisher: Cambridge University Press
Year: 2004
Tongue: English
Leaves: 388
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

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