Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data
1st Edition
Published on 19. April 2016
631 pages
978-1-040-17000-7 (ISBN)
Description
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 reflect
Reviews / Votes
"By considering systems as nonlinear and by considering the ways in which this nonlinearity can be described, the book offers new ways for Ergonomists to reflect on the central focus of its endeavour, i.e. the 'system'. As Ergonomics evolves into its twenty-first-century manifestation, it needs to develop and refine its concept of how systems operate. This book provides the foundation for that development and should be required reading for anyone who uses the word 'system' in their discussion of Ergonomics."-Chris Baber, School of Electronic, Electrical and Systems, Engineering University of Birmingham, in Ergonomics, 2014
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
ISBN-13
978-1-040-17000-7 (9781040170007)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Stephen J. Guastello | Robert A.M. Gregson
Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data
Book
11/2010
1st Edition
CRC Press
€54.55
Shipment within 15-20 days
Persons
Stephen Gaustello is a professor of Psychology at Marquette University, in Milwaukee Wisconsin.
Content
Determining Basic NDS Indicators. Graphic Techniques: Phase Space Analysis, Unfolding, And Recurrence Plots. Graphic Techniques: Phase Space Analysis, Unfolding, And Recurrence Plots. Statistically Driven Techniques. Markov Processes. Broad Issues.
