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Nonlinear Time Series Analysis.
~
Ebooks Corporation.
Nonlinear Time Series Analysis.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Nonlinear Time Series Analysis.
Author:
Kantz, Holger.
other author:
Schreiber, Thomas.
Published:
Cambridge :Cambridge University Press,2003.
Description:
387 p.
Subject:
Time-series analysis.
Online resource:
Click here to view book
ISBN:
9780511755798 (electronic bk.)
Nonlinear Time Series Analysis.
Kantz, Holger.
Nonlinear Time Series Analysis.
[electronic resource]. - 2nd ed. - Cambridge :Cambridge University Press,2003. - 387 p.
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.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511755798 (electronic bk.)Subjects--Topical Terms:
181890
Time-series analysis.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA280 .K355 2004eb
Dewey Class. No.: 519.55
Nonlinear Time Series Analysis.
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Nonlinear Time Series Analysis.
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[electronic resource].
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2nd ed.
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Cambridge :
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Cambridge University Press,
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2003.
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387 p.
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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
520
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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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Available via World Wide Web.
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Time-series analysis.
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Schreiber, Thomas.
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Click here to view book
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http://dx.doi.org/10.1017/CBO9780511755798
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電子館藏
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EB QA280 .K355 2003
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http://dx.doi.org/10.1017/CBO9780511755798
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