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 ...

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 ...

Segregation analysis is a method of detecting major genes for quantitative traits without using marker information. It serves as an important tool in helping investigators to plan further studies ...

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 ...

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 ...