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.
Keywords
Selection (genetic algorithm)Multivariate statisticsMultivariate analysisCluster analysisModel selectionMathematicsEconometricsStatisticsComputer scienceMachine learning
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Publication Info
- Year
- 1987
- Type
- article
- Volume
- 52
- Issue
- 3
- Pages
- 333-343
- Citations
- 2446
- Access
- Closed
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Cite This
Stanley L. Sclove
(1987).
Application of Model-Selection Criteria to Some Problems in Multivariate Analysis.
Psychometrika
, 52
(3)
, 333-343.
https://doi.org/10.1007/bf02294360
Identifiers
- DOI
- 10.1007/bf02294360