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On Methods in the Analysis of Profile Data

1959/06/01 by Samuel W. Greenhouse, Seymour Geisser · 4,985 citations
Chemistry · Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Analysis of covariance #Analysis of variance #Applied mathematics #Categorical variable #Covariance #Covariance matrix #Degrees of freedom (physics and chemistry) #Mathematics #Multivariate analysis #Multivariate analysis of variance #Multivariate normal distribution #Multivariate statistics #Optimal Experimental Design Methods #Spectroscopy and Chemometric Analyses #Statistics #Variance (accounting)

paper · doi:10.1007/bf02289823

published in Psychometrika 24(2), 95-112 (Springer Science+Business Media)

openalex publication_date 1959/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04

Abstract

This paper is concerned with methods for analyzing quantitative, non-categorical profile data, e.g., a battery of tests given to individuals in one or more groups. It is assumed that the variables have a multinormal distribution with an arbitrary variance-covariance matrix. Approximate procedures based on classical analysis of variance are presented, including an adjustment to the degrees of freedom resulting in conservative F tests. These can be applied to the case where the variance-covariance matrices differ from group to group. In addition, exact generalized multivariate analysis methods are discussed. Examples are given illustrating both techniques.

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