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Course STAT310

Multivariate Analysis

Course offered :

Current programmes of study

Number of credits 10
Course offered (semester) Irregular
Schedule Schedule
Reading list Reading list

Language of Instruction

English if English-speaking students attend the seminars, otherwise Norwegian

Learning Outcomes

The course gives an introduction to multivariate statistics with the emphasis on practical applications. The students get experience in using important methods through exercises with the software package S-plus.

Course offered (semester)

Irregular

Language of Instruction

English if English-speaking students attend the seminars, otherwise Norwegian

Aim and Content

The course contains descriptive multivariate statistics, multivariate distribution theory such as the multinormal and the Wishart distribution. Furthermore, it contains multivariate t-tests, simultaneous confidence intervals, multivariate regression, principal components and factor analysis. In addition discriminant analysis, cluster analysis and correspondence analysis are mentioned. Finally, the spectral and singular value decomposition is discussed.

Learning Outcomes

The course gives an introduction to multivariate statistics with the emphasis on practical applications. The students get experience in using important methods through exercises with the software package S-plus.

Recommended previous knowledge

MAT121 Linear Algebra, STAT101 Elementary Statistics or STAT110 Basic Course in Statistics, and STAT210 Theory of Statistical Inference

Assessment methods

Oral examination

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.