Nonlinear time series analysis /

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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...

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Detalles Bibliográficos
Autor principal: Kantz, Holger
Otros Autores: Schreiber, Thomas
Formato: Libro
Lenguaje:Inglés
Publicado: Cambridge : University Press, 2004.
Edición:2nd ed.
Materias:
SERIES TEMPORALES
DINAMICA NO LINEAL
TEORIA DEL CAOS
METODOS NO LINEALES
FRACTALES
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
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520 2 |a 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. 
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