851323 Multivariate statistics


Type
Lecture and exercise
Semester hours
3
Lecturer (assistant)
Moder, Karl
Organisation
Institute of Applied Statistics and Computing (IASC)
Offered in
Sommersemester 2019
Languages of instruction
Deutsch, Englisch

Content

introduction (multidimensional variates, survey of problems and methods, matrix calculation)

regression analysis (fitting models)

factor analysis (principle components analysis includes)

cluster analysis

discriminant analysis

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.