Nonlinear Dynamical Systems Analysis For The Behavioral Sciences Using Real Data - Info and Reading Options

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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

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