Module MA4944

Multivariate Statistics (MultivStat)


Duration

1 Semester

Turnus of offer

irregularly

Credit points

4

Course of studies, specific fields and terms:

  • Bachelor CLS 2010, optional subject, mathematics
  • Master CLS 2010, optional subject, mathematics

Classes and lectures:

  • Multivariate Statistics (exercise, 1 SWS)
  • Multivariate Statistics (lecture, 2 SWS)

Workload:

  • 20 hours exam preparation
  • 55 hours private studies
  • 45 hours in-classroom work

Contents of teaching:

  • Multivariate regression
  • Discriminance analysis
  • Logistic regression
  • Cluster analysis
  • Principal components and factor analysis

Qualification-goals/Competencies:

  • Identification of applications in which multivariate statistical methods are required
  • Knowledge of the fundamental ideas of various multivariate methods

Grading through:

  • written exam

Responsible for this module:

  • Prof. Dr. rer. nat. Andreas Ziegler

Literature:

  • Ludwig Fahrmeir, Alfred Hamerle, Gerhard Tutz : Multivariate statistische Verfahren ISBN-13 9783110138061

Language:

  • offered only in German

Last Updated:

17.07.2019