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

作者：Stanley L. Sclove · 发表于：Psychometrika · 年份：1987 · DOI：10.1007/bf02294360 · 被引用次数：2624 · 研究领域：Neural Networks and Applications、Statistical and Computational Modeling、Rough Sets and Fuzzy Logic

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.