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SYLLABUS

Multivariate Methods, 7,5 ECTS Credits

COURSE CATEGORY   Singel Subject Course MAIN FIELD OF STUDY   Statistik - STA SUBJECT AREA     COURSE CODE   732G08

AIM OF THE COURSE

Having completed the course, the student should be able to - use knowledge about the most common multivariate methods - display good understanding of major principles for interpretation and assessment of multivariate models - use a standard statistical computer package to estimate and assess components from a given data set with multivariate methods - verbally interpret the results from an analysis of multivariate models

CONTENTS

The course provides basic skills for professional work with statistical problems with several correlated random variables. Multivariate normal distributions. Distributions of quadratic forms. Confidence regions and test. Principal components analysis. Factor analysis. Discriminant analysis. Cluster analysis. Canonical correlation. Multidimensional scaling.

TEACHING

The teaching of the course is conducted mainly via internet. Language of instructions is english.

EXAMINATION

The course is examined by exercises and by an oral or a written exam. Students who have passed an examination may not retake it in order to improve their grades.

ADMISSION REQUIREMENTS

Documented knowledge of English equivalent to “Engelska B” is required, or an international proficiency test, e.g. TOEFL, minimum score 550/213.The student must have passed courses in statistics corresponding to at least one year of full-time undergraduate studies and lenear algebra.

GRADING

The course is graded according to the ECTS grading scale A-F

CERTIFICATE

COURSE LITERATURE

The course literature is decided upon by the department in question.

OTHER INFORMATION

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.

Multivariate Methods Multivariate Methods   Department responsible for the course or equivalent: IDA - Department of Computer and Information             Registrar No: 127/07-41   Course Code: 732G08           Exam codes: see Local Computer System       Subject/Subject Area : Statistik - STA                       Level   Education level     Subject Area Code   Field of Education   G2X   Basic level     STA   SA