Kantz, Holger.  <br/><br/>
Nonlinear time series analysis /   
Holger Kantz, Thomas Schreiber. 
 - 2nd ed. 
 - Cambridge :   University Press,   2004. 
 - 369 p. :   figuras 
<br/><br/> 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 deterinism is weak - Selected nonlinear phenomena - 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. 
<br/><br/><label>ISBN: </label>9780521529020 0521529026 
<br/><br/><label>Subjects--Topical Terms: </label><br/>SERIES TEMPORALES<br/>DINAMICA NO LINEAL<br/>TEORIA DEL CAOS<br/>METODOS NO LINEALES<br/>FRACTALES
<br/><br/><label>Universal Decimal Class. No.: </label>519.246.8