Multivariate Statistical Methods Ruhr-Universität Bochum
This course provides the review of multivariate statistical methods, e.g. principal component analysis, factor analysis and discriminant analysis, which are of great importance in empirical economic research.
Qualification targets: Understanding of basic multivariate models and the ability to use them empirically. Imparted soft skills: Analytical thinking, Independent studying and learning, Critical thinking
Qualification targets: Understanding of basic multivariate models and the ability to use them empirically
Basic knowledge of regression analysis and analytical statistics.
100 % Written exam (90 min)
Week1: Introduction Week 2: followed by Week 3 to the Final Week
combination of lecture and tutorial
Online Course Requirement
communication platform: moodle
Dr. Markus Pape
Site for Inquiry
Please inquire about the courses at the address below.
Contact person: For questions related to the content of the course, please contactMr. Jan WüstenfeldE-Mail: firstname.lastname@example.orgFor all kind of technical and practical questions, please contact Ms. Laura Santisi.E-Mail: Laura.Santisi@ruhr-uni-bochum.de
Email address: E-Mail: email@example.comE-Mail: Laura.Santisi@ruhr-uni-bochum.de
Link to the syllabus provided by the university