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Nonlinear Dynamics and Statistics (Hardcover, 2001 ed.)
Loot Price: R3,018
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Nonlinear Dynamics and Statistics (Hardcover, 2001 ed.)
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Recently, a great deal of progress has been made in the modeling
and understanding of processes with nonlinear dynamics, even when
only time series data are available. Modern reconstruction theory
deals with creating nonlinear dynamical models from data and is at
the heart of this improved understanding. Most of the work has been
done by dynamicists, but for the subject to reach maturity,
statisticians and signal processing engineers need to provide input
both to the theory and to the practice. The book brings together
different approaches to nonlinear time series analysis in order to
begin a synthesis that will lead to better theory and practice in
all the related areas. This book describes the state of the art in
nonlinear dynamical reconstruction theory. The chapters are based
upon a workshop held at the Isaac Newton Institute, Cambridge
University, UK, in late 1998. The book's chapters present theory
and methods topics by leading researchers in applied and
theoretical nonlinear dynamics, statistics, probability, and
systems theory. Features and topics: * disentangling uncertainty
and error: the predictability of nonlinear systems * achieving good
nonlinear models * delay reconstructions: dynamics vs. statistics *
introduction to Monte Carlo Methods for Bayesian Data Analysis *
latest results in extracting dynamical behavior via Markov Models *
data compression, dynamics and stationarity Professionals,
researchers, and advanced graduates in nonlinear dynamics,
probability, optimization, and systems theory will find the book a
useful resource and guide to current developments in the subject.
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