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Bezruchko, Boris P
Extracting Knowledge From Time Series
I05873
2010
eBook
(page:1 / 1) [#1]
1.
Title
Extracting Knowledge From Time Series : An Introduction to Nonlinear Empirical Modeling
Author(s)
Bezruchko, Boris P;Smirnov, Dmitry A
Publication
Berlin, Heidelberg,
Springer Berlin Heidelberg
, 2010.
Description
XXII, 410 p. 162 illus : online resource
Abstract Note
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
ISBN,Price
9783642126017
Keyword(s)
1.
COMPLEX SYSTEMS
2.
DYNAMICAL SYSTEMS
3.
EBOOK
4.
EBOOK - SPRINGER
5.
ECONOMIC THEORY
6.
Economic Theory/Quantitative Economics/Mathematical Methods
7.
Economics, Mathematical??
8.
ENVIRONMENTAL PHYSICS
9.
ENVIRONMENTAL SCIENCES
10.
GEOPHYSICS
11.
Geophysics/Geodesy
12.
Quantitative Finance
13.
STATISTICAL PHYSICS
14.
Statistical Physics and Dynamical Systems
Item Type
eBook
Multi-Media Links
Please Click here for eBook
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Accession#
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Issued To
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Physical Location
I05873
On Shelf
(page:1 / 1) [#1]