Includes index

Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface; 1. General Considerations in the Representation of Real Psychological Processes; 1.1 Analyses Outside and Inside Time; 1.2 Ways of Encoding Dynamic Behavior; 1.3 Some Comments on the State of the Art; 1.4 Overview and Plan for Later Chapters; 2. Definitions and Mathematical Foundations; 2.0 Statistical Theory of Series in Discrete Time; 2.1 Renewal Processes; 2.2 Autocorrelation Structure and Polynomial Representation; 2.3 Identification Through Box-Jenkins Methods; 2.4 Series With Natural Periodicities. 2.5 Nonlinear and Volterra Functions2.6 Periodograms and Power Spectra; 2.7 Fourier Transforms and Analyses; 2.8 Filters and Windows; 2.9 Coherence and Related Measures Based On Bivariate Frequency Analyses; 3. Model Structure and Identification in Time; 3.1 Orders of Complexity of Dynamic Models in Psychology; 3.2 Discontinuous Time Series in Psychology; 3.3 Psychophysical Modeling and Sequential Error; 3.4 The z Transform; 3.5 Aspects of Model Identification; 3.6 Identifying Embedded Episodes Within Time Series; Addendum to Section 3.6. 3.7 Catastrophes, Discontinuities, and Hysteresis in Time Series3.8 Appendix to Chapter 3: Laplace Transforms; 4. The Applicability and Limits of Time Series Representations; 4.1 A Historical Comment on Time Series Experiments; 4.2 The Perception of Time Itself, Reaction Times, and Some Related Time Series; 4.3 Sequential Effects in Psychophysical Judgments; 4.4 Motor Skills and Regulation; 4.5 Some Time Series in Social Psychology; 4.6 Special Problems in Psychophysiology; 4.7 Time Series Applications in Clinical Psychology; 5. Systems Theory and Time Series; 5.1 System Representations. 5.2 Equivalence of Systems Under Stationarity5.3 Discontinuity in Human Responses; 5.4 Kalman Filters; 5.5 Computability and Replacement For the Kalman Filter; 5.6 Bayes Filters and the Abandonment of Stationarity Restrictions; 5.7 Identification in the Autoregressive Case; 5.8 A Note on the Shannon-Gelfand-Yaglom Information Measure; 6. Extensions into Complex or Nonstationary Processes; 6.1 Prediction of Behavior and Learning; 6.2 Spatiotemporal and Chronotemporal Processes; 6.3 Multidimensional Time Series Experiments; 6.4 On-Line Nonstationary Convergent Experiments. 6.5 Self-Regulation and Dynamic Control6.6 Dynamic Explanations in Psychology; References; Author Index; Subject Index.