Extracting Knowledge from Time Series An Introduction to Nonlinear Empirical Modeling

Name: Extracting Knowledge from Time Series An Introduction to Nonlinear Empirical Modeling
Price: 55.74 USD
Availability: InStock
ISBN: 9783642264825

ISBN-10: 3642264824

ISBN-13: 9783642264825

Edition: 2010

Authors: Boris P. Bezruchko, Dmitry A. Smirnov

List price: $54.99

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Description:

This book addresses the fundamental question on how to construct mathematical models for the evolution of dynamical systems from experimentally obtained time series.Emphasis is on chaotic signals and nonlinear modeling, with the aim to obtain a quantitative measure for the forecast of future system evolution. In particular, the reader will learn 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 alike, who seek a self-contained and thorough introduction to this subject.

Book details

List price: $54.99
Copyright year: 2010
Publisher: Springer Berlin / Heidelberg
Publication date: 11/5/2012
Binding: Paperback
Pages: 410
Size: 6.10" wide x 9.25" long
Weight: 1.452
Language: English