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Multiple covariance analysis by the general least squares regression method
Author(s) -
Overall John E.
Publication year - 1972
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830170308
Subject(s) - analysis of covariance , covariance , statistics , regression analysis , linear regression , mathematics , regression , general linear model , regression diagnostic , partial least squares regression , least squares function approximation , generalized least squares , analysis of variance , econometrics , computer science , polynomial regression , estimator
The use of general least squares regression methods for accomplishing factorial type ANOVA has been described in several recent publications. This article extends application of general linear model analysis to problems that are ordinarily conceived as multiple covariance or multiple group regression analysis. A detailed example of the simplified computational method is provided.