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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Bibliographic Details
Main Author: Small, Michael
Format: Electronic eBook
Language:English
Published: Singapore : World Scientific, 2005.
Series:World Scientific series on nonlinear science. Monographs and treatises ; v. 52.
Subjects:
Online Access:CONNECT

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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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