A01=R. A.M. Gregson
advanced psychological process modeling
analysis
Author_R. A.M. Gregson
autocorrelation
Autocorrelation Spectrum
Autocorrelation Structure
behavioral sequence analysis
Box Jenkins Methods
Category=JM
discrete
Discrete Time
dynamic systems approach
EEG Analysis
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
experimental data patterns
filter
Frequency Domain
Input Series
kalman
Kalman Filter
Laplace Transforms
Li Ne
longitudinal psychological research
LTF
Markov Processes
Model Structure
models
Multivariate Time Series
observational data coding
Partial Autocorrelations
Partial Encoding
Periodic Time Series
representation
Sampled Data Systems
space
spectrum
St Em
state
stochastic modeling psychology
Time Order Error
Time Series
Time Series Analysis
Time Series Modeling
Time Series Representation
Vice Versa
Product details
- ISBN 9780898592504
- Weight: 771g
- Dimensions: 152 x 229mm
- Publication Date: 01 May 1983
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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First published in 1983. Psychological data are segments of life histories; as such they are ordered sequences of observations and by definition time series. Yet they are often anything but well behaved; what regularities and invariances they have are buried from all but the most persistent investigator. The most common methods of representing quantitative results in psychology are frozen outside time; thus they deliberately average out much of the sequential structure that holds any sparse clues to the nature of processes within the organism. This review, whose simple aim is to bring together in an illuminating juxtaposition on basic results in both time series analysis and in experimental psychology, thus. cuts across traditions within psychology.
Robert A.M. Gregson University of New England Armidale, New South Wales Australia
