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

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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 ac...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Guastello, Stephen J.
Otros Autores: Gregson, Robert A. M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, 2016.
Temas:
Psychology > Philosophy.
Nonlinear systems.
Psychologie > Philosophie.
Systèmes non linéaires.
PSYCHOLOGY > Reference.
Nonlinear systems
Psychology > Philosophy
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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