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Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data.

By: Contributor(s): Material type: TextTextPublisher: Baton Rouge : Taylor & Francis Group, 2010Copyright date: ©2011Edition: 1st edDescription: 1 online resource (616 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781439820025
Subject(s): Genre/Form: Additional physical formats: Print version:: Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real DataDDC classification:
  • 300.1/175
LOC classification:
  • BF38.N665 2011
Online resources:
Contents:
Front cover -- Contents -- Preface -- Editors -- Contributors -- Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis -- 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. Entropy -- Chapter 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 Dynamics -- Chapter 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 Research.
Chapter 25. Frontiers of Nonlinear Methods -- Body -- Back cover.
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Front cover -- Contents -- Preface -- Editors -- Contributors -- Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis -- 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. Entropy -- Chapter 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 Dynamics -- Chapter 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 Research.

Chapter 25. Frontiers of Nonlinear Methods -- Body -- Back cover.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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