| Unit name | Multivariate Analysis 34 |
|---|---|
| Unit code | MATHM0510 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
| Unit director | Dr. Didelez |
| Open unit status | Not open |
| Pre-requisites |
Probability 1 (MATH11300), Statistics 1 (MATH 11400) and Linear Algebra and Geometry (MATH 11005) |
| Co-requisites |
None |
| School/department | School of Mathematics |
| Faculty | Faculty of Science |
Multivariate analysis is a branch of statistics involving the consideration of objects on each of which are observed the values of a number of variables. A wide range of methods is used for the analysis of multivariate data, both unstructured and structured, and this course will give a view of the variety of methods available, as well as going into some of them in detail. Interpretation of results will be emphasized as well as the underlying theory. Multivariate techniques are used across the whole range of fields of statistical application: in medicine, physical and biological sciences, economics and social science, and of course in many industrial and commercial applications.
