Nonlinear dynamical systems analysis for the behavioral sciences using real data / edited by Stephen J. Guastello and Robert A.M. Gregson.

Format:

Book

Contributor:

Gregson, R. A. M. (Robert Anthony Mills), 1928- editor.

Guastello, Stephen J., editor.

Language:

English

Subjects (All):

Psychology--Philosophy.

Psychology.

Nonlinear systems.

Physical Description:

1 online resource (616 p.)

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, [2012].

Language Note:

English

Summary:

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.

Contents:

Front cover; Contents; Preface; Editors; Contributors; Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis; Body; Chapter 2. Principles of Time Series Analysis; Chapter 3. Frequency Distributions and Error Functions; Chapter 4. Phase Space Analysis and Unfolding; Chapter 5. Nonlinear Dynamical Analysis of Noisy Time Series; Chapter 6. The Effects of the Irregular Sample and Missing Data in Time Series Analysis; Chapter 7. A Dynamical Analysis via the Extended-Return-Map; Chapter 8. Adjusting Behavioral Methods When Applying Nonlinear Dynamical Measures to Stimulus Rates

Chapter 9. EntropyChapter 10. Analysis of Recurrence: Overview and Application to Eye-Movement Behavior; Chapter 11. Discontinuities and Catastropheswith Polynomial Regression; Chapter 12. Nonlinear Regression and Structural Equations; Chapter 13. Catastrophe Models with Nonlinear Regression; Chapter 14. Catastrophe Model for the Prospect-Utility Theory Question; Chapter 15. Measuring the Scaling Properties of Temporal and Spatial Patterns: From the Human Eye to the Foraging Albatross; Chapter 16. Oscillators with Differential Equations

Chapter 17. Markov Chains for Identifying Nonlinear DynamicsChapter 18. Markov Chain Example: Transitions between Two Pictorial Attractors; Chapter 19. Identifying Ill-Behaved Nonlinear Processes without Metrics: Use of Symbolic Dynamics; Chapter 20. Information Hidden in Signals and Macromolecules: Symbolic Time-Series Analysis; Chapter 21. Orbital Decomposition: Identification of Dynamical Patterns in Categorical Data; Chapter 22. Orbital Decomposition for Multiple Time-Series Comparisons; Chapter 23. The Danger of Wishing for Chaos

Chapter 24. Methodological Issues in the Application of Monofractal Analyses in Psychological and Behavioral ResearchChapter 25. Frontiers of Nonlinear Methods; Back cover

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters.

Description based on print version record.

ISBN:

1-04-017000-5

0-429-13780-X

1-4398-2002-3

9780429137808

OCLC:

967109709