Multivariate methods I
7.5 ECTS creditsThe following components are treated:
- matrix algebra and multivariate normal distribution
- multivariate variance analysis and multivariate regression,
- cluster analysis and discriminant analysis,
- principal component analysis, factor analysis, and canonical correlation.
Applications are computer illustrated.
- matrix algebra and multivariate normal distribution
- multivariate variance analysis and multivariate regression,
- cluster analysis and discriminant analysis,
- principal component analysis, factor analysis, and canonical correlation.
Applications are computer illustrated.
Progressive specialisation:
G1F (has less than 60 credits in first鈥恈ycle course/s as entry requirements)
Education level:
Undergraduate level
Admission requirements
Statistics 30 ECTS cr
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.