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Statistical Methods for Modeling Human Dynamics
By Sy-Miin Chow
0 - Default Title
Description
Readers will appreciate a review of the latest methodological techniques developed in the last few years. Highlights include an examination of:
Statistical and mathematical modeling techniques for the analysis of brain imaging such as EEGs, fMRIs, and other neuroscience data
Dynamic modeling techniques for intensive repeated measurement data
Panel modeling techniques for fewer time points data
State-space modeling techniques for psychological data
Techniques used to analyze reaction time data.
Each chapter features an introductory overview of the techniques needed to understand the chapter, a summary, and numerous examples. Each self-contained chapter can be read on its own and in any order. Divided into three major sections, the book examines techniques for examining within-person derivations in change patterns, intra-individual change, and inter-individual differences in change and interpersonal dynamics. Intended for advanced students and researchers, this book will appeal to those interested in applying state-of-the-art dynamic modeling techniques to the the study of neurological, developmental, cognitive, and social/personality psychology, as well as neuroscience, computer science, and engineering.
Product details
Edition:
1
Number of Pages:
446
Release Date:
2009-12-09
Publication Date:
2009-12-09
Publisher:
Routledge
Languages:
Original:
English
ISBN10:
1848728255
ISBN13:
9781848728257
GPSR Manufacturer Reference:
Weight:
792 g
Height:
157 cm
Width:
235 cm
Thickness:
28 cm
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