Generalized multivariate analysis of variance

被引：81

作者：

Dogandzic, A ^{[1
]}

Nehorai, A

机构：

[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA USA

[2] Univ Illinois, Chicago, IL USA

来源：

IEEE SIGNAL PROCESSING MAGAZINE | 2003年 / 20卷 / 05期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/MSP.2003.1236771

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：39 / 54

页数：16

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