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Applied Nonlinear Time Series Analysis
Applications In Physics, Physiology And Finance
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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: quantitative measures of nonlinear dynamics, Monte–Carlo statistical hypothesis testing, and nonlinear modeling. Ten highly detailed applications serve as case studies of fruitful applications and illustrate the mathematical techniques described in the text.
World Scientific; January 2005
261 pages; ISBN 9789812567772
Read online, or download in secure PDF format
261 pages; ISBN 9789812567772
Read online, or download in secure PDF format
Subject categories
- Academic > Mathematics > Probabilities. Mathematical statistics > Time-series analysis
- Academic > Mathematics > General > Mathematicians; Biography
- Academic > Mathematics > General
- Academic > Mathematics > Probabilities. Mathematical statistics
- Academic > Mathematics
- Academic > Formal Sciences
- Mathematics > Probability & Statistics
- Science > Chaotic Behavior in Systems
- Science
- Mathematics
ISBNs
9812567771
9789812567772
9789812561176