Nonlinear Time Series Analysis - Thomas Schreiber,Holger Kantz
-35% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine, and engineering. While based on a sound mathematical background, the book emphasises practical usefu ... Täydellinen kuvaus
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Kuvaus
The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine, and engineering. While based on a sound mathematical background, the book emphasises practical usefulness. Researchers from all experimental disciplines, including physics, the life sciences, and economy, will find guidance for the analysis of real world systems.
Lisätietoja
| Kirjoittaja | Thomas Schreiber, Holger Kantz |
|---|---|
| Julkaisija | Cambridge University Press |
| Julkaisuvuosi | 2006 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9780521529020 |