Fundamentals of Multivariate Analysis Part IV. Analysis of Variance for Balanced Experiments

Abstract

In this last of the present series of articles, procedures are exemplified for the analysis of multivariate data obtained from balanced experimental designs. A test of the hypothesis that the residual covariance matrices are equal for all treatment combinations is also presented.

• Multivariate Analysis
• Roy's Largest Root Test
• Statistical Inference
• Wilks' Likelihood Ratio Test

Additional information

Notes on contributors

Clyde Y. Kramer

Dr. Kramer is a Professor of Statistics. Dr. Jensen is an Associate Professor of Statistics.