851323 Multivariate statistics
- Lecture and exercise
- Semester hours
- Lecturer (assistant)
- Moder, Karl
- Offered in
- Sommersemester 2019
- Languages of instruction
- Deutsch, Englisch
introduction (multidimensional variates, survey of problems and methods, matrix calculation)
regression analysis (fitting models)
factor analysis (principle components analysis includes)
- Previous knowledge expected
- Objective (expected results of study and acquired competences)
The students should become able to realize, to describe and to analyze multivariate random phenomenons. They should get a survey of the wide field of multivariate methods and knows about the possibilities to describe, that means to model, the relationships of variates. They should become aware of the increasing amount of information at multivariate data and the improving reliability of statistical statements as a consequence of that.
You can find more details like the schedule or information about exams on the course-page in BOKUonline.