Id: 038569 Credits Min: 3 Credits Max: 3 Description. This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying multivariate ...

Course TopicsThe goal of this talk is to familiarize those in attendance with some common multivariate methods, such as principal component analysis, factor analysis, Hotelling’s T2, etc. We’ll try to ...

Students must have completed Further Mathematical Methods (MA212) and Probability, Distribution Theory and Inference (ST202). Course content. An introduction to the theory and application of modern ...

Canonical correlation analysis (CCA) and other multivariate techniques MANOVA is one of a group of techniques called multivariate statistical methods . “Multivariate” refers to multiple outcome ...

Multivariate analysis techniques may be used for several purposes, such as dimension reduction, clustering, or classification. The primary goal of this short course is to help researchers who want to ...

Multivariate analyses such as principal component analysis were among the first statistical methods employed to extract information from genetic markers. From their early applications to current ...

This course is restricted to MSPH and DrPH students. This course is an introduction to probability concepts and statistical inference. Topics include counting techniques, discrete and continuous ...

Students must have completed Further Mathematical Methods (MA212) and Probability, Distribution Theory and Inference (ST202). Course content An introduction to the theory and application of modern ...