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Direct linkMavridis, Dimitris; Moustaki, Irini – Multivariate Behavioral Research, 2008
In this article we extend and implement the forward search algorithm for identifying atypical subjects/observations in factor analysis models. The forward search has been mainly developed for detecting aberrant observations in regression models (Atkinson, 1994) and in multivariate methods such as cluster and discriminant analysis (Atkinson, Riani,…
Descriptors: Simulation, Mathematics, Factor Analysis, Discriminant Analysis
Peer reviewedTate, Richard L.; Bryant, John L. – Multivariate Behavioral Research, 1986
The shape of the response surface associated with a discriminant analysis provides insight into the value of the derived optimal discriminant variates. A procedure for the determination of "indifference regions," presented in this article, allows the assessment of the degree of flatness of the response surface for any analysis.…
Descriptors: Discriminant Analysis, Mathematical Models, Multivariate Analysis, Statistical Studies
Peer reviewedTate, Richard L. – Multivariate Behavioral Research, 1983
The use of generalized discriminant analysis as a descriptive technique which can be employed outside of the traditional analysis of variance studies is discussed. Examples based on real data are provided. (Author/JKS)
Descriptors: Data Analysis, Discriminant Analysis, Multivariate Analysis, Statistical Studies
Peer reviewedCohen, Jacob; Lee, Robert S. – Multivariate Behavioral Research, 1987
STATGRAPHICS, a statistical package written for the IBM PC/XT/AT, is reviewed. In addition to superb graphics, STATGRAPHICS is unequalled in time series procedures, quality control, linear programming, and other mathematical procedures. The modules for regression analysis, categorical data analysis, and nonparametric analysis are good, but contain…
Descriptors: Analysis of Variance, Cluster Analysis, Computer Graphics, Computer Software
