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

1987/09/01 by Stanley L. Sclove · 31 citations
Computer Science · #Neural Networks and Applications #Statistical and Computational Modeling #Rough Sets and Fuzzy Logic

paper · doi:10.1007/bf02294360

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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