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Applied nonlinear time series analysis : applications in physics, physiology and finance /

Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rar...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Small, Michael
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : World Scientific, 2005.
Colección:World Scientific series on nonlinear science. Monographs and treatises ; v. 52.
Temas:
Acceso en línea:Texto completo

MARC

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504 |a Includes bibliographical references and index. 
505 0 |a Time series embedding and reconstruction -- Dynamic measures and topological invariants -- Estimation of correlation dimension -- The method of surrogate data -- Non-standard and non-linear surrogates -- Identifying the dynamics -- Applications. 
588 0 |a Print version record. 
520 |a Nonlinear time series methods have developed rapidly over a quarter of a century and have reached an advanced state of maturity during the last decade. Implementations of these methods for experimental data are now widely accepted and fairly routine; however, genuinely useful applications remain rare. This book focuses on the practice of applying these methods to solve real problems. To illustrate the usefulness of these methods, a wide variety of physical and physiological systems are considered. The technical tools utilized in this book fall into three distinct, but interconnected areas: quan. 
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650 0 |a Nonlinear theories. 
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650 6 |a Théories non linéaires. 
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