An Introduction to Multivariate Data Analysis

Introduction. Matrix algebra. Basic multivariate statistics. Graphical representation of multivariate data. Principal components analysis. Biplots. Correspondence analysis. Cluster analysis. Multidimensional scaling. Linear regression analysis. Multivariate analysis of variance. Canonical correlation analysis. Discriminant analysis and canonical variates analysis. Loglinear modelling. Factor analysis. Other latent variable models. Graphical modelling. Data mining.