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.
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Sclove, S.L. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika 52, 333–343 (1987). https://doi.org/10.1007/BF02294360
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DOI: https://doi.org/10.1007/BF02294360