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Nonlinear Time Series Analysis 2ND Edition

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Nonlinear Time Series Analysis 2ND Edition Cover

ISBN13: 9780521529020
ISBN10: 0521529026
Condition:
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Synopses & Reviews

Publisher Comments:

Deterministic chaos provides a novel framework for the analysis of irregular time series. Traditionally, nonperiodic signals are modeled by linear stochastic processes. But even very simple chaotic dynamical systems can exhibit strongly irregular time evolution without random inputs. Chaos theory offers completely new concepts and algorithms for time series analysis which can lead to a thorough understanding of the signal. The book introduces a broad choice of such concepts and methods, including phase space embeddings, nonlinear prediction and noise reduction, Lyapunov exponents, dimensions and entropies, as well as statistical tests for nonlinearity. Related topics like chaos control, wavelet analysis and pattern dynamics are also discussed. Applications range from high quality, strictly deterministic laboratory data to short, noisy sequences which typically occur in medicine, biology, geophysics or the social sciences. All material is discussed and illustrated using real experimental data.

Synopsis:

New edition of a successful advanced text on nonlinear time series analysis.

Synopsis:

The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine, and engineering. While based on a sound mathematical background, the book emphasises practical usefulness. Researchers from all experimental disciplines, including physics, the life sciences, and economy, will find guidance for the analysis of real world systems.

Synopsis:

First time paperback of very successful volume from Cambridge Nonlinear Science Series.

Synopsis:

The time variability of many natural and social phenomena is not well described by standard methods of data analysis. However, nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand seemingly unpredictable behavior. The results are applied to real data from physics, biology, medicine, and engineering in this volume. Researchers from all experimental disciplines, including physics, the life sciences, and the economy, will find the work helpful in the analysis of real world systems. First Edition Hb (1997): 0-521-55144-7 First Edition Pb (1997): 0-521-65387-8

Table of Contents

Preface; Acknowledgements; Part I. Basic Topics: 1. Introduction: why nonlinear methods?; 2. Linear tools and general considerations; 3. Phase space methods; 4. Determinism and predictability; 5. Instability: Lyapunov exponents; 6. Self-similarity: dimensions; 7. Using nonlinear methods when determinism is weak; 8. Selected nonlinear phenomena; Part II. Advanced Topics: 9. Advanced embedding methods; 10. Chaotic data and noise; 11. More about invariant quantities; 12. Modelling and forecasting; 13. Non-stationary signals; 14. Coupling and synchronisation of nonlinear systems; 15. Chaos control; Appendix A: using the TISEAN programs; Appendix B: description of the experimental data sets; References; Index.

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kaleel08, April 17, 2009 (view all comments by kaleel08)
very much help for me because i am doing research in nonlinear dynamics, this is help to me.
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Product Details

ISBN:
9780521529020
Author:
Kantz, Holger
Publisher:
Cambridge University Press
Author:
Chirikov, Boris
Author:
Schreiber, Thomas
Author:
Cvitanovic, Predrag
Author:
Moss, Frank
Author:
Swinney, Harry
Location:
Cambridge, UK
Subject:
General
Subject:
General science
Subject:
Time-series analysis
Subject:
Nonlinear theories
Subject:
Probability & Statistics - General
Subject:
Science Reference-General
Edition Number:
2
Edition Description:
Trade paper
Series:
Cambridge Nonlinear Science Series
Series Volume:
7
Publication Date:
20031131
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
118 b/w illus. 4 tables 43 exercises
Pages:
388
Dimensions:
9.68x6.50x.39 in. 1.34 lbs.

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Reference » Science Reference » General
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Nonlinear Time Series Analysis 2ND Edition New Trade Paper
0 stars - 0 reviews
$99.25 In Stock
Product details 388 pages Cambridge University Press - English 9780521529020 Reviews:
"Synopsis" by , New edition of a successful advanced text on nonlinear time series analysis.
"Synopsis" by , The time variability of many natural and social phenomena is not well described by standard methods of data analysis. Nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand such seemingly unpredictable behaviour. Results are applied to real data from physics, biology, medicine, and engineering. While based on a sound mathematical background, the book emphasises practical usefulness. Researchers from all experimental disciplines, including physics, the life sciences, and economy, will find guidance for the analysis of real world systems.
"Synopsis" by , First time paperback of very successful volume from Cambridge Nonlinear Science Series.
"Synopsis" by , The time variability of many natural and social phenomena is not well described by standard methods of data analysis. However, nonlinear time series analysis uses chaos theory and nonlinear dynamics to understand seemingly unpredictable behavior. The results are applied to real data from physics, biology, medicine, and engineering in this volume. Researchers from all experimental disciplines, including physics, the life sciences, and the economy, will find the work helpful in the analysis of real world systems. First Edition Hb (1997): 0-521-55144-7 First Edition Pb (1997): 0-521-65387-8
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