Application of Model-Selection Criteria to Some Problems in Multivariate Analysis

1987/09/01 by Stanley L. Sclove · 2,590 citations
Computer Science · Mathematics · #Cluster analysis #Computer science #Econometrics #Machine learning #Mathematics #Model selection #Multivariate analysis #Multivariate statistics #Neural Networks and Applications #Rough Sets and Fuzzy Logic #Selection (genetic algorithm) #Statistical and Computational Modeling #Statistics

paper · doi:10.1007/bf02294360

published in Psychometrika 52(3), 333-343 (Springer Science+Business Media)

openalex publication_date 1987/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31

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.

Citations

• Factor Analysis and AIC

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