Overview
- Useful as a self-study guide
- Gives a modern approach and practical examples
- Written by well known authors having made many contribution to the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Synergetics (SSSYN)
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Table of contents (13 chapters)
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Models And Forecast
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Modeling From Time Series
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)
Authors and Affiliations
Bibliographic Information
Book Title: Extracting Knowledge From Time Series
Book Subtitle: An Introduction to Nonlinear Empirical Modeling
Authors: Boris P. Bezruchko, Dmitry A. Smirnov
Series Title: Springer Series in Synergetics
DOI: https://doi.org/10.1007/978-3-642-12601-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-12600-0Published: 05 September 2010
Softcover ISBN: 978-3-642-26482-5Published: 05 November 2012
eBook ISBN: 978-3-642-12601-7Published: 03 September 2010
Series ISSN: 0172-7389
Series E-ISSN: 2198-333X
Edition Number: 1
Number of Pages: XXII, 410
Number of Illustrations: 162 b/w illustrations
Topics: Complex Systems, Geophysics/Geodesy, Quantitative Finance, Economic Theory/Quantitative Economics/Mathematical Methods, Environmental Physics, Statistical Physics and Dynamical Systems