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Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data (Hardcover, New)
Loot Price: R1,362
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Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data (Hardcover, New)
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Although its roots can be traced to the 19th century, progress in
the study of nonlinear dynamical systems has taken off in the last
30 years. While pertinent source material exists, it is strewn
about the literature in mathematics, physics, biology, economics,
and psychology at varying levels of accessibility. A compendium
research methods reflecting the expertise of major contributors to
NDS psychology, Nonlinear Dynamical Systems Analysis for the
Behavioral Sciences Using Real Data examines the techniques proven
to be the most useful in the behavioral sciences. The editors have
brought together constructive work on new practical examples of
methods and application built on nonlinear dynamics. They cover
dynamics such as attractors, bifurcations, chaos, fractals,
catastrophes, self-organization, and related issues in time series
analysis, stationarity, modeling and hypothesis testing,
probability, and experimental design. The analytic techniques
discussed include several variants of the fractal dimension,
several types of entropy, phase-space and state-space diagrams,
recurrence analysis, spatial fractal analysis, oscillation
functions, polynomial and Marquardt nonlinear regression, Markov
chains, and symbolic dynamics. The book outlines the analytic
requirements faced by social scientists and how they differ from
those of mathematicians and natural scientists. It includes
chapters centered on theory and procedural explanations for running
the analyses with pertinent examples and others that illustrate
applications where a particular form of analysis is seen in the
context of a research problem. This combination of approaches
conveys theoretical and practical knowledge that helps you develop
skill and expertise in framing hypotheses dynamically and building
viable analytic models to test them.
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