TY - JOUR
T1 - Generalized multivariate analysis of variance
AU - Dogandžić, Aleksandar
AU - Nehorai, Arye
N1 - Funding Information:
This work was supported by the NSF Industry-University Cooperative Research Program, Center for Nondestructive Evaluation, Iowa State University, the Air Force Office of Scientific Research under Grants F49620-00-1-0083 and F49620-02-1-0339, the National Science Foundation under Grant CCR-0105334, and the Office of Naval Research under Grant N00014-01-1-0681.
PY - 2003/9
Y1 - 2003/9
N2 - Generalized multivariate analysis of variance (GMANOVA) and related-rank regression are general statistical models that comprise versions of regression, canonical correlation, and profile anlaysis as well as analysis of variance (ANOVA) and covariance in univariate and multivariate settings. It is a powerful and, yet, not very well-known tool. This paper develops a unified framework for explaining, analyzing, and extending signal processing methods based on GMANOVA.
AB - Generalized multivariate analysis of variance (GMANOVA) and related-rank regression are general statistical models that comprise versions of regression, canonical correlation, and profile anlaysis as well as analysis of variance (ANOVA) and covariance in univariate and multivariate settings. It is a powerful and, yet, not very well-known tool. This paper develops a unified framework for explaining, analyzing, and extending signal processing methods based on GMANOVA.
UR - https://www.scopus.com/pages/publications/85032778705
U2 - 10.1109/MSP.2003.1236771
DO - 10.1109/MSP.2003.1236771
M3 - Article
AN - SCOPUS:85032778705
SN - 1053-5888
VL - 20
SP - 39
EP - 54
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 5
ER -