|Multivariate Statistical Methods, 6 ECTS Credits|
|AIM OF THE COURSE|
|After completion of the course, the student should be able to:
- use multivariate inference methods generalizing widely used univariate methods
- demonstrate insightful understanding of covariance structures in the analysis of multivariate data
- select and apply suitable methods for extracting, summarizing and analyzing the information carried by multivariate data
|The course content comprises practical as well as theoretical elements, for example:
- computer exercises
- training in matrix algebra
- multivariate normal distribution and inference of mean vectors
- principal component analysis and factor analysis
- canonical correlation analysis
| Self-studies of the textbook supplemented with lectures and seminars. The lectures are devoted to presentation of theories, concepts and methods. The seminars comprise student presentations and discussions of assignments.
Computer exercises, in which the students have access to supervision, provide practical experience of analyzing multivariate data. Language of instruction: English
|Hand-in problems encompassing computer-based data analysis. A final oral or written examination.
Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.
Students who have passed an examination may not retake it in order to improve their grades.
Students entering the course should have a bachelor’s degree with a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics, and computer science. The undergraduate courses in mathematics should include both calculus and linear algebra. Basic undergraduate courses in statistics and computer science are also required.
Documented knowledge of English equivalent to "Engelska B"; i.e. English as native language or an internationally recognized test, e.g. TOEFL (minimum scores: Paperbased 575 + TWE-score 4.5, internetbased 90 TWE-score 20), IELTS, academic (minimum score: Overall band 6.5 and no band under 5.5), or equivalent.
|The course is graded according to the ECTS grading scale A-F|
|Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.|
|The course literature is decided upon by the department in question.|
|Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.
The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.