Multivariate Analysis - MATH5855

   
   
   
 
Campus: Kensington Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Fee Band: 5 (more info)
 
 
Further Information: See Class Timetable
 
 

Description


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 degree in a numerate discipline or permission of the Head of Department.

Note: Course not offered every year. Contact School for more information.