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References (25)
-
J. Rissanen (1980)
Consistent order estimates of autoregressive processes by shortest description of data -
H. Akaike (1981)
Likelihood of a model and information criteriaJournal of Econometrics, 16
-
10.1007/BF02294359
-
J. Rissanen (1978)
Modeling By Shortest Data Description*Autom., 14
-
J. Wolfe (1970)
PATTERN CLUSTERING BY MULTIVARIATE MIXTURE ANALYSIS.Multivariate behavioral research, 5 3
-
H. Akaike (1987)
. Factor analysis and AIC.Psychometrika -
G. Schwarz (1978)
Estimating the Dimension of a ModelAnnals of Statistics, 6
-
H. Bozdogan (1981)
MULTI-SAMPLE CLUSTER ANALYSIS AND APPROACHES TO VALIDITY STUDIES IN CLUSTERING INDIVIDUALS. -
H. Bozdogan (1983)
Determining the Number of Component Clusters in the Standard Multivariate Normal Mixture Model Using Model-Selection Criteria. -
H. Akaike (1983)
Statistical Inference and Measurement of Entropy -
R. Kashyap (1982)
Optimal Choice of AR and MA Parts in Autoregressive Moving Average ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-4
-
H. Akaike (1974)
A new look at the statistical model identificationIEEE Transactions on Automatic Control, 19
-
H. Bozdogan, D. Ramirez (1987)
An Expert Model Selection Approach to Determine the “Best” Pattern Structure in Factor Analysis Models -
H. Bozdogan, S. Sclove (1984)
Multi-sample cluster analysis using Akaike's Information CriterionAnnals of the Institute of Statistical Mathematics, 36
-
H. Akaike (1973)
Information Theory and an Extension of the Maximum Likelihood Principle, 1
-
H. Bozdogan (1987)
Bozdogan, H., & Ramirez, D. E. (1987). An expert model selection approach to determine the “best” pattern structure in factor analysis models. Unpublished manuscript. -
J. Rissanen (1983)
A UNIVERSAL PRIOR FOR INTEGERS AND ESTIMATION BY MINIMUM DESCRIPTION LENGTHAnnals of Statistics, 11
-
S. Sclove (1983)
Time-series segmentation: A model and a methodInf. Sci., 29
-
S. Sclove (1980)
Application of the Conditional Population-Mixture Model to Image SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5
-
H. Akaike (1987)
Factor analysis and AICPsychometrika, 52
-
H. Bozdogan (1986)
MULTI-SAMPLE CLUSTER ANALYSIS AS AN ALTERNATIVE TO MULTIPLE COMPARISON PROCEDURESBulletin of informatics and cybernetics, 22
-
D. E. Boekee (1981)
Theorie und Anwendung der Signalverarbeitung [Proceedings of the 4th Aachen Colloquium: Theory and application of signal processing]. -
S. Sclove (1982)
On Segmentation of Time Series and Images in the Signal Detection and Remote Sensing Contexts. -
W. Dixon, F. Massey (1951)
Introduction to Statistical Analysis -
J. Rissanen (1985)
Minimum-description-length principle
- Publisher
- Cambridge University Press
- Copyright
- 1987 The Psychometric Society
- ISSN
- 0033-3123
- eISSN
- 1860-0980
- DOI
- 10.1007/bf02294360
- Publisher site
- See Article on Publisher Site
Abstract
Abstract A review of model-selection criteria is presented, with a view toward showing their similarities. It is suggested that some problems treated by sequences of hypothesis tests may be more expeditiously treated by the application of model-selection criteria. Consideration is given to application of model-selection criteria to some problems of multivariate analysis, especially the clustering of variables, factor analysis and, more generally, describing a complex of variables.
Journal
Psychometrika – Cambridge University Press
Published: Sep 1, 1987