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Extracting Knowledge From Time Series

An Introduction to Nonlinear Empirical Modeling

Language EnglishEnglish
Book Paperback
Book Extracting Knowledge From Time Series Boris P. Bezruchko
Libristo code: 01659901
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, November 2012
This book, a useful self-study guide, addresses the fundamental question on how to construct mathema... Full description
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This book, a useful self-study guide, addresses the fundamental question on how to construct mathematical models for the evolution of dynamical systems from experimentally obtained time series. There is emphasis is on chaotic signals and nonlinear modelling.

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About the book

Full name Extracting Knowledge From Time Series
Author Boris P. Bezruchko, Dmitry A. Smirnov
Language English
Binding Book - Paperback
Date of issue 2012
Number of pages 410
EAN 9783642264825
ISBN 3642264824
Libristo code 01659901
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 658
Dimensions 155 x 235 x 24

Categories

Mathematics & Science > Mathematics > Applied mathematics > Chaos theory
Mathematics & Science > Physics > Classical mechanics > Dynamics & statics
Mathematics & Science > Physics > Applied physics > Geophysics
Economics, Finance, Business & Management > Economics > Economic theory & philosophy
Economics, Finance, Business & Management > Economics > Econometrics & economic statistics
Mathematics & Science > Physics > Statistical physics
Earth Sciences, Geography, Environment, Planning > The environment > Pollution & threats to the environment
Economics, Finance, Business & Management > Finance & accounting
Technology, Engineering, Agriculture > Environmental science, engineering & technology
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