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Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance
Contributor(s): Small, Michael (Author)

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 ISBN: 981256117X     ISBN-13: 9789812561176
Publisher: World Scientific Publishing Company
OUR PRICE: $118.75  

Binding Type: Hardcover
Published: March 2005
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Annotation: 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.

Click for more in this series: World Scientific Series on Nonlinear Science, Series a
Additional Information
BISAC Categories:
- Science | Physics - Mathematical & Computational
- Mathematics | Applied
- Mathematics | Mathematical Analysis
Dewey: 519.550
Series: World Scientific Series on Nonlinear Science, Series a
Physical Information: 0.76" H x 6.32" W x 9.24" L (1.14 lbs) 260 pages
Features: Bibliography, Dust Cover, Illustrated, Index, Table of Contents
 
Descriptions, Reviews, Etc.
Publisher Description:
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.
 
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