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Module guide WS 2018-2022

Module MA4944

Multivariate Statistics (MultivStat)

Duration:


1 Semester
Turnus of offer:


irregularly
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor CLS 2010 (optional subject), mathematics, 6th semester
  • Master CLS 2010 (optional subject), mathematics, 2nd semester
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
Requires:
Responsible for this module:
  • Prof. Dr. rer. nat. Andreas Ziegler
Teachers:
Literature:
  • Ludwig Fahrmeir, Alfred Hamerle, Gerhard Tutz: Multivariate statistische Verfahren - ISBN-13 9783110138061
Language:
  • offered only in German
Letzte Änderung:
17.7.2019