Overview

The course gives a methodological background in multivariate analysis as a backbone of Applied Statistics. It introduces multivariate techniques including principal component analysis; canonical correlation analysis; cluster analysis; factor analysis and discriminant analysis. Computing and data analysis features prominently in this course.Pre-requisites: 24 units of level III mathematics or a … For more content click the Read More button below.

Conditions for Enrolment

Prerequisite: MATH2801, MATH2901 or MATH5846 and MATH5856

Additional Enrolment Constraints

Students must have completed listed prerequisite or be enrolled in a Postgraduate Mathematics or Statistics program.

Course Attributes

Offered irregularly or alternate years

Delivery

In-person - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)