Multivariate Statistical Analysis
- 1 September 1973
- journal article
- Published by Wiley in Psychophysiology
- Vol. 10 (5) , 517-532
- https://doi.org/10.1111/j.1469-8986.1973.tb00539.x
Abstract
General multivariate statistical theory and three statistical models (multi‐variate analysis of variance, canonical correlation analysis, and factor analysis) are described. Numerical examples, mathematical notes, an annotated bibliography, and references to computer programs are presented. Multivariate procedures are described as generalizations from univariate statistical theory where possible. The advantages to psychophysiologists of determining the organization of a complicated physiological response system through multivariate statistical procedures are discussed.Keywords
This publication has 7 references indexed in Scilit:
- On a Heuristic Method of Test Construction and its use in Multivariate AnalysisThe Annals of Mathematical Statistics, 1953
- A Generalized T Test and Measure of Multivariate DispersionPublished by University of California Press ,1951
- THE STATISTICAL SIGNIFICANCE OF CANONICAL CORRELATIONSBiometrika, 1941
- Relations Between Two Sets of VariatesBiometrika, 1936
- RELATIONS BETWEEN TWO SETS OF VARIATESBiometrika, 1936
- Analysis of a complex of statistical variables into principal components.Journal of Educational Psychology, 1933
- CERTAIN GENERALIZATIONS IN THE ANALYSIS OF VARIANCEBiometrika, 1932