Springer Series in Synergetics

Extracting Knowledge From Time Series

An Introduction to Nonlinear Empirical Modeling

Authors: Bezruchko, Boris P., Smirnov, Dmitry A.

  • Useful as a self-study guide
  • Provides a modern approach and practical examples
  • Written by well known authors with many contribution to the field
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eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-12601-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $124.00
price for USA
  • ISBN 978-3-642-12600-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $124.00
price for USA
  • ISBN 978-3-642-26482-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolution. In particular, it teaches readers how to construct difference and differential model equations depending on the amount of a priori information that is available on the system in addition to the experimental data sets. This book will benefit graduate students and researchers from all natural sciences who seek a self-contained and thorough introduction to this subject.

Reviews

From the reviews:

“Extracting knowledge from time series is a very neat title–it exactly encapsulates the topic which the authors hope to cover in this volume. … This is admirable, and the result is valuable. … This is overall a useful volume for providing an overview of the area … .” (Michael Small, Mathematical Reviews, Issue 2012 d)

“Another book on time-series! … it is a textbook for physicists and practitioners, and in this way of thought it is welcome. Its main purpose is to explain and illustrate how time series can be used to construct mathematical models for dynamical systems. … step by step the applications supports the presentation of the basic theoretical formulation.” (Guy Jumarie, Zentralblatt MATH, Vol. 1210, 2011)


Table of contents (13 chapters)

  • The Concept of Model. What is Remarkable in Mathematical Models

    Bezruchko, Boris P. (et al.)

    Pages 3-23

  • Two Approaches to Modelling and Forecast

    Bezruchko, Boris P. (et al.)

    Pages 25-69

  • Dynamical (Deterministic) Models of Evolution

    Bezruchko, Boris P. (et al.)

    Pages 71-125

  • Stochastic Models of Evolution

    Bezruchko, Boris P. (et al.)

    Pages 127-147

  • Problem Posing in Modelling from Data Series

    Bezruchko, Boris P. (et al.)

    Pages 151-158

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-3-642-12601-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $124.00
price for USA
  • ISBN 978-3-642-12600-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $124.00
price for USA
  • ISBN 978-3-642-26482-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Extracting Knowledge From Time Series
Book Subtitle
An Introduction to Nonlinear Empirical Modeling
Authors
Series Title
Springer Series in Synergetics
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-12601-7
DOI
10.1007/978-3-642-12601-7
Hardcover ISBN
978-3-642-12600-0
Softcover ISBN
978-3-642-26482-5
Series ISSN
0172-7389
Edition Number
1
Number of Pages
XXII, 410
Number of Illustrations and Tables
162 b/w illustrations
Topics