Multivariate Analysis

About this programme

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. The course forms a part of the Master's Program in Statistics, but it can also be studied as a freestanding course. You will find Tatjana's reception hours in the link above. If you wish to visit Tatjana outside of her reception hours, you are welcome to e-mail her for an appointment. You will find Tatjana's reception hours in the link above. If you wish to visit Tatjana outside of her reception hours, you are welcome to e-mail her for an appointment. If you have questions about studying at the Department of Statistics, please contact our study- and career counselor To follow your passion. To be close to international career opportunities. To explore city and countryside. In Stockholm you can really get the best of both worlds. Here we explain all the different steps you need to go through when applying to a course or programme. Stockholm University arranges regular webinars and participates in educational fairs and events virtually and around the world to meet st