Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data
eBook - PDF

Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

  1. 631 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data

About this book

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 reflect

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Yes, you can access Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data by Stephen J. Guastello, Robert A.M. Gregson, Stephen J. Guastello,Robert A.M. Gregson in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
eBook ISBN
9781439820025
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front cover
  2. Contents
  3. Preface
  4. Editors
  5. Contributors
  6. Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis
  7. Chapter 2. Principles of Time Series Analysis
  8. Chapter 3. Frequency Distributions and Error Functions
  9. Chapter 4. Phase Space Analysis and Unfolding
  10. Chapter 5. Nonlinear Dynamical Analysis of Noisy Time Series
  11. Chapter 6. The Effects of the Irregular Sample and Missing Data in Time Series Analysis
  12. Chapter 7. A Dynamical Analysis via the Extended-Return-Map
  13. Chapter 8. Adjusting Behavioral Methods When Applying Nonlinear Dynamical Measures to Stimulus Rates
  14. Chapter 9. Entropy
  15. Chapter 10. Analysis of Recurrence: Overview and Application to Eye-Movement Behavior
  16. Chapter 11. Discontinuities and Catastropheswith Polynomial Regression
  17. Chapter 12. Nonlinear Regression and Structural Equations
  18. Chapter 13. Catastrophe Models with Nonlinear Regression
  19. Chapter 14. Catastrophe Model for the Prospect-Utility Theory Question
  20. Chapter 15. Measuring the Scaling Properties of Temporal and Spatial Patterns: From the Human Eye to the Foraging Albatross
  21. Chapter 16. Oscillators with Differential Equations
  22. Chapter 17. Markov Chains for Identifying Nonlinear Dynamics
  23. Chapter 18. Markov Chain Example: Transitions between Two Pictorial Attractors
  24. Chapter 19. Identifying Ill-Behaved Nonlinear Processes without Metrics: Use of Symbolic Dynamics
  25. Chapter 20. Information Hidden in Signals and Macromolecules: Symbolic Time-Series Analysis
  26. Chapter 21. Orbital Decomposition: Identification of Dynamical Patterns in Categorical Data
  27. Chapter 22. Orbital Decomposition for Multiple Time-Series Comparisons
  28. Chapter 23. The Danger of Wishing for Chaos
  29. Chapter 24. Methodological Issues in the Application of Monofractal Analyses in Psychological and Behavioral Research
  30. Chapter 25. Frontiers of Nonlinear Methods
  31. Body
  32. Back cover