Multivariate Methods
7.5 ECTS creditsContent and Form of Instruction
The course covers the following subject areas: matrix algebra and multivariate normal distribution,cluster analysis and discriminant analysis, principal component analysis, factor analysis and canonical correlation.
The course covers the following subject areas: matrix algebra and multivariate normal distribution,cluster analysis and discriminant analysis, principal component analysis, factor analysis and canonical correlation.
Progressive specialisation:
G1F (has less than 60 credits in first‐cycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements:
PrerequisitesA minimum of 30 credits in Statistics
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.