Advertisement
Published in:
1998 | OriginalPaper | Chapter
Multivariate Analysis of Variance
Author : Dr. Charles E. Brown
Published in: Applied Multivariate Statistics in Geohydrology and Related Sciences
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
The multivariate analysis of variance (MANOVA) is a generalization of analysis of variance when there are multiple dependent variables, and tests whether mean differences among groups on a combination of dependent variables is a chance occurrence. A new dependent variable that maximizes group differences is created from the set of dependent variables by forming a linear combination of measured or observed dependent variables. Then an analysis of variance is performed on the new dependent variable by a test of variances.