Solution key to Applied Multivariate Statistical Analysis Pearson, 2014. 6th ed. by Johnson R.A., Wichern D.W.
369 p.
Aspects of Multivariate Analysis
Matrix Algebra and Random Vectors
Sample Geometry and Random Sampling
THe Multivariate Normal Distribution
Inferences about a mean vector
Comparisons of Several Multivariate Means
Multivariate Linear Regression Models
Principal Companets
Factor Analysis and inference for Structured Coveriance Matrics
Canonical Correlation Analysis
Discrimination and Classification
Clustering, Distance Methods and Ordination