Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

  • Price: $135.95 $122.36
  • Hardback: 631 pages
  • Published: November 2010
  • ISBN: 978-1-4398199-7-5
  • Publisher: CRC Press

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A compilation of research methods and reflecting the expertise of the major contributors to NDS psychology, this book examines the techniques that have proven to be most useful in the behavioral sciences. This book is designed to develop skill and expertise in framing hypotheses dynamically and in building viable analytic models to test them. It addresses topics and methods of current interest in an application driven manner, making the book useful to the behavioral sciences community, as well as those in engineering, medicine, and other fields who are interested in nonlinear dynamics.

Table of Contents

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

Author/Editor Biography

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

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