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Extracting Knowledge from Time Series: An Introduction to Nonlinear Empirical Modeling

by Boris P. Bezruchko
Save 35% Save 35%
Current price ₹3,672.00
Original price ₹5,649.00
Original price ₹5,649.00
Original price ₹5,649.00
(-35%)
₹3,672.00
Current price ₹3,672.00

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Book cover type: Paperback
  • ISBN13: 9783642264825
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 410
  • Original Price: EUR 49.99
  • Language: English
  • Edition: 2010
  • Item Weight: 610 grams
  • BISAC Subject(s): Chaotic Behavior in Systems, Probability & Statistics / Time Series, and Physics / Geophysics

From the Back Cover
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.

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