Stockholm university
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Multivariate Analysis

This course gives you a deeper knowledge within multivariate statistics, both in theory and applications that are used in many fields. Within the course you will conduct deeper studies of the inference theory in multivariate analysis, for example concerning the mean and covariance matrices. During the course you will use statistical software to analyse data.

Computer literacy is essential today, as we make extensive use of the computer for practical multivariate data analysis. In this course you will be using the statistical software R and SAS. Matrix algebra is used throughout the course as a necessary tool for the inference, as well as computer sessions. You will be given an overview about necessary concepts from matrix algebra useful for the course. The concepts that are more thoroughly treated in the course are: Matrix algebra and multivariate normal distribution. Multivariate analysis of variance. Multivariate regression and canonical correlation analysis.