Inhalt

[ 551STMEMVVK14 ] KV Multivariate Statistics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B3 - Bachelor's programme 3. year Statistics Helga Wagner 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics and Data Science 2019W
Objectives Students know methods for cluster and factor analysis and can apply these methods to analyse data.
Subject cluster analysis: similarity and distance measures; hierarchical, agglomerative and divisive methods

factor analysis: model, basic equations, estimation problem, principle components analysis, principal factor analysis, factor transformation

confirmatory factor analysis; structural equation modeling, LISREL models

Criteria for evaluation homework and written exam
Methods presentation by the lecturer

presentation of the homework by students and discussion

Language German
Study material Skriptum
Fahrmeir, Hamerle, Tutz, Multivariate statistische Verfahren.
Changing subject? No
Corresponding lecture (*)ist gemeinsam mit 551OKMEVLMK14: KV Verallgemeinerte Lineare Modelle (4 ECTS) äquivalent zu
4MSMV1KV: Multivariate Verfahren I (8 ECTS)
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority