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|a Small, Michael.
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|a Applied nonlinear time series analysis :
|b applications in physics, physiology and finance /
|c Michael Small.
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|a Singapore :
|b World Scientific,
|c 2005.
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|a World scientific series on nonlinear science. Series A ;
|v v. 52
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|a Includes bibliographical references and index.
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|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.
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|a Print version record.
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|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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|a Nonlinear theories.
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|a Théories non linéaires.
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|x Time Series.
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|i Print version:
|a Small, Michael.
|t Applied nonlinear time series analysis.
|d Singapore : World Scientific, 2005
|z 981256117X
|w (OCoLC)61028859
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|a World Scientific series on nonlinear science.
|n Series A,
|p Monographs and treatises ;
|v v. 52.
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