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Nonlinear time series analysis / Holger Kantz, Thomas Schreiber.

By: Contributor(s): Material type: TextTextSeries: Cambridge nonlinear science seriesPublication details: Cambridge : Cambridge University Press, 2003.Edition: 2nd edDescription: 1 online resource (1 volume) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0511078536
  • 9780511078538
  • 9780511076961
  • 0511076967
  • 9780511755798
  • 0511755791
  • 0521821509
  • 9780521821506
  • 0521529026
  • 9780521529020
Subject(s): Genre/Form: Additional physical formats: Print version:: Nonlinear time series analysis.DDC classification:
  • 003.75 22
LOC classification:
  • QA280 .K355 2003eb
Other classification:
  • 31.73
  • O211. 61
Online resources:
Contents:
Cover; Half-title; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Acknowledgements; Part I Basic topics; Part II Advanced topics; Appendix A Using the TISEAN programs; Appendix B Description of the experimental data sets; References; Index.
Summary: 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.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Previous edition: 1997.

Includes bibliographical references and index.

Cover; Half-title; Title; Copyright; Contents; Preface to the first edition; Preface to the second edition; Acknowledgements; Part I Basic topics; Part II Advanced topics; Appendix A Using the TISEAN programs; Appendix B Description of the experimental data sets; References; Index.

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.

Print version record.

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