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About Applied Nonlin Time Series Analysis - Applns in Physics
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.
Detailed Information
| Author: | Michael Small |
|---|---|
| Publication Year: | 2005 |
| Pages: | 261 |
| Language: | English |
| File Size: | 13.091 |
| Format: | |
| Price: | FREE |
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