Front cover; Contents; Preface; Editors; Contributors; Chapter 1. Introduction to Nonlinear Dynamical Systems Analysis; Body; Chapter 2. Principles of Time Series Analysis; Chapter 3. Frequency Distributions and Error Functions; Chapter 4. Phase Space Analysis and Unfolding; Chapter 5. Nonlinear Dyn
Nonlinear Dynamical Systems Analysis for the Behavioral Sciences Using Real Data
โ Scribed by Stephen J. Guastello (Editor); Robert A.M. Gregson (Editor)
- Publisher
- CRC Press
- Year
- 2011
- Leaves
- 616
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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
โฆ Table of Contents
Determining Basic NDS Indicators. Graphic Techniques: Phase Space Analysis, Unfolding, And Recurrence Plots. Graphic Techniques: Phase Space Analysis, Unfolding, And Recurrence Plots. Statistically Driven Techniques. Markov Processes. Broad Issues.
โฆ Subjects
Behavioral Sciences;Psychological Science;Psychological Methods & Statistics;Quantitative Methods;Engineering & Technology;Industrial Engineering & Manufacturing;Ergonomics;Cognitive Ergonomics
๐ SIMILAR VOLUMES
<span>This comprehensive book systematically introduces Dynamic Data Driven Simulation (DDDS) as a new simulation paradigm that makes real-time data and simulation model work together to enable simulation-based prediction/analysis. The text is significantly dedicated to introducing data assimilation