Multivariate Statistical Analysis (Contract Education)

15 credits

Syllabus, Master's level, 8ST112

Code
8ST112
Education cycle
Second cycle
Main field(s) of study and in-depth level
Statistics A1F
Grading system
Pass with distinction (VG), Pass (G), Fail (U)
Finalised by
The Department Board, 8 June 2012
Responsible department
Department of Statistics

Entry requirements

Courses in statistics for second-cycle studies equivalent 30 credits.

Learning outcomes

After completing the course the student is expected to

• know and be able to use multivariate statistical methods

• know to the underlying theory of multivariate statistical methods

Content

Multivariate distributions. Estimation. Hypothesis tests. Multivariate regression analysis. Component analysis. Factor analysis. Canonical correlation. Discriminant analysis. Multivariate variance analysis. Cluster analysis

Instruction

Teaching can be given in the form of lectures, calculation exercises and computer exercises.

Assessment

The course is included in the Master's programme in statistics.

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