Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

Introduction to Nonlinear Dynamical Systems Analysis, R.A.M. Gregson and S.J. Guastello
Principles of Time Series Analysis, R.A.M. Gregson
Frequency Distributions and Error Functions, S.J. Guastello
Phase Space Analysis and Unfolding, M. Shelhamer
Nonlinear Dynamical Analysis of Noisy Time Series, A. Heathcote and D. Elliott
The Effects of the Irregular Sample and Missing Data in Time Series Analysis, D.M. Kreindler and C.J. Lumsden
A Dynamical Analysis via the Extended-Return-Map, J.-S. Li, J. Krauth, and J.P. Huston
Adjusting Behavioral Methods When Applying Nonlinear Dynamical Measures to Stimulus Rates, B.B. Frey
Entropy, S.J. Guastello
Analysis of Recurrence: Overview and Application to Eye-Movement Behavior, D.J. Aks
Discontinuities and Catastrophes with Polynomial Regression, S.J. Guastello
Nonlinear Regression and Structural Equations, S.J. Guastello
Catastrophe Models with Nonlinear Regression, S.J. Guastello
Catastrophe Model for the Prospect-Utility Theory Question, T.A. Oliva and S.R. McDade
Measuring the Scaling Properties of Temporal and Spatial Patterns: From the Human Eye to the Foraging Albatross, M.S. Fairbanks and R.P. Taylor
Oscillators with Differential Equations, J. Butner and T.N. Story
Markov Chains for Identifying Nonlinear Dynamics, S.J. Merrill
Markov Chain Example: Transitions between Two Pictorial Attractors, R.A.M. Gregson
Identifying Ill-Behaved Nonlinear Processes without Metrics: Use of Symbolic Dynamics, R.A.M. Gregson
Information Hidden in Signals and Macromolecules I: Symbolic Time-Series Analysis, M.A. Jiménez-Montaño, R. Feistel, and O. Diez-Martínez
Orbital Decomposition: Identification of Dynamical Patterns in Categorical Data, S.J. Guastello
Orbital Decomposition for Multiple Time-Series Comparisons, D. Pincus, D.L. Ortega, and A.M. Metten
The Danger of Wishing for Chaos, P.E. McSharry
Methodological Issues in the Application of Monofractal Analyses in Psychological and Behavioral Research, D. Delignières, K. Torre, and L. Lemoine
Frontiers of Nonlinear Methods, R.A.M. Gregson
Index

Biography

Stephen Gaustello is a professor of Psychology at Marquette University, in Milwaukee Wisconsin.

"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