Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content

Nonlinear Time Series Analysis

ISBN-10: 0521529026

ISBN-13: 9780521529020

Edition: 2nd 2003 (Revised)

Authors: Holger Kantz, Thomas Schreiber

List price: $104.00
Shipping box This item qualifies for FREE shipping.
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structures. In the applied sciences, deterministic chaos provides a striking explanation for irregular behaviour and anomalies in systems which do not seem to be inherently stochastic. The most direct link between chaos theory and the real world is the analysis of time series from real systems in terms of nonlinear dynamics. Experimental technique and data analysis have seen such dramatic progress that, by now, most fundamental properties of nonlinear dynamical systems have been observed in the laboratory. Great efforts are being made to exploit ideas…    
Customers also bought

Book details

List price: $104.00
Edition: 2nd
Copyright year: 2003
Publisher: Cambridge University Press
Publication date: 11/27/2003
Binding: Paperback
Pages: 388
Size: 6.69" wide x 9.69" long x 0.91" tall
Weight: 1.760
Language: English

Preface
Acknowledgements
Basic Topics
Introduction: why nonlinear methods?
Linear tools and general considerations
Phase space methods
Determinism and predictability
Instability: Lyapunov exponents
Self-similarity: dimensions
Using nonlinear methods when determinism is weak
Selected nonlinear phenomena
Advanced Topics
Advanced embedding methods
Chaotic data and noise
More about invariant quantities
Modelling and forecasting
Non-stationary signals
Coupling and synchronisation of nonlinear systems
Chaos control
Using the TISEAN programs
Description of the experimental data sets
References
Index