Nonlinear Time Series Analysis 2nd Edition

Nonlinear Time Series Analysis 2nd Edition book cover

Nonlinear Time Series Analysis 2nd Edition

Author(s): Holger Kantz (Author), Thomas Schreiber (Contributor)

  • Publisher: Cambridge University Press
  • Publication Date: 27 Nov. 2003
  • Edition: 2nd
  • Language: English
  • Print length: 388 pages
  • ISBN-10: 0521529026
  • ISBN-13: 9780521529020

Book Description

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

Editorial Reviews

Review

From reviews of the first edition: ‘… any serious physics institute should have such a book on its shelves. It will be of use to any experimental scientist dealing with nonlinear data or a theoretical physicist who desires a feeling of ‘how one does it in an experiment’. The clear course of presentation should make it accessible to undergraduate students.’ Daniel Wojcik, Pageoph

‘This book will be of value to any graduate student or researcher who needs to be able to analyse time series data, especially in the fields of physics, chemistry, biology, geophysics, medicine, economics and the social sciences.’ Mathematical Reviews

‘… a very readable introduction to the concepts and clear descriptions of the techniques, as well as cautions, where appropriate, about potential pitfalls and misuses of the methods. … the book is a good reference to the current state of the art from the nonlinear dynamics community and is important reading for anyone faced with interpreting irregular time series.’ Contemporary Physics

Book Description

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

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