Canonical Analysis Applied to Multivariate Analysis of Variance

Multivariate Analysis of Variance

We provide an expository presentation of multivariate analysis of variance (MANOVA) for both consumers of research and investigators by capitalizing on its relation to univariate analysis of variance models. We address several questions: (a) Why should one use MANOVA. 9 (b) What is the structure of MANOVA? (C) How are MANOVA test statistics obtained and interpreted? (d) How are MANOVA follow-up...

Multivariate Analysis of Variance

1. Introduction In many agricultural experiments, generally the data on more than one character is observed. One common example is grain yield and straw yield. The other characters on which the data is generally observed are the plant height, number of green leaves, germination count, etc. The analysis is normally done only on the grain yield and the best treatment is identified on the basis of...

Generalization of Canonical Correlation Analysis from Multivariate to Functional Cases and its related problems

In multivariate cases, the aim of canonical correlation analysis (CCA) for two sets of variables x and y is to obtain linear combinations of them so that they have the largest possible correlation. However, when x and y are continouse functions of another variable (generally time) in nature, these two functions belong to function spaces which are of infinite dimension, and CCA for them should b...

Applied Multivariate Statistical Analysis

Multivariate Analysis of Variance Applied to 3G Mobile Market Segmentation : The Innovator Theory

Mobile communication and Internet are the most thriving industries in the 21st century. They tend to integrate recently. Human beings are used to construct a beautiful dream in communication: An internet service which can be enjoyed by a mobile and dexterous device. This article explores the demand of 3G cell phone consumers in Taiwan from the angle of technical management. Here we use the meth...