Applied Nonlinear Time Series Analysis

Applications In Physics, Physiology And Finance

By: Michael Small

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Hardcover | 28 March 2005

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260 Pages

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22.86 x 15.24 x 1.91

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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.

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You Can Find This Book In

Non-Fiction Science Physics Mathematics Probability & Statistics Applied Mathematics Nonlinear Science Calculus & Mathematical Analysis Booktopia Publisher Services World Scientific Publishing Chaos Theory

Time series embedding and reconstruction	p. 1
Dynamic measures and topological invariants	p. 47
Estimation of correlation dimension	p. 85
The method of surrogate data	p. 115
Non-standard and non-linear surrogates	p. 149
Identifying the dynamics	p. 179
Applications	p. 223
Table of Contents provided by Blackwell. All Rights Reserved.

Applied Nonlinear Time Series Analysis

Applications In Physics, Physiology And Finance

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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