Nonlinear time series analysis
by Kantz, Holger, Schreiber, Thomas
fromCambridge Nonlinear Science Series
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 fr…
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 fr…
Nonlinear time series analysis
by Kantz, Holger, Schreiber, Thomas
fromCambridge Nonlinear Science Series
Nonlinear time series analysis
by Kantz, Holger, Schreiber, Thomas
fromCambridge Nonlinear Science Series
Nonlinear time series analysis
by Kantz, Holger, Schreiber, Thomas
fromCambridge Nonlinear Science Series
Topics include phase space embeddings, nonlinear prediction and noise reduction, Lyapunov exponents, dimensions and entropies, chaos control, wavelet analysis and pattern dynamics. All material is discussed and illustrated using experimental data.