Universität Wien

390016 DK PhD-M: Multivariate Business Statistics (2016W)

10.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Continuous assessment of course work

Target Group: Students of the PhD-Management
Requirements for Participation: Registration for the course in U:SPACE
more information: http://marketing.univie.ac.at/studierende/phd0/ws-201617/phd-m-multivariate-business-statistics/

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 11.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 18.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 25.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 08.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 15.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 22.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 29.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 06.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 13.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 10.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 24.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

More details:
http://marketing.univie.ac.at/studierende/phd0/ws-201516/phd-m-multivariate-business-statistics/

Assessment and permitted materials

- Written examination 30 Percent
- Mid-term presentation (article) 20 Percent
- End-term presentation (project) 20 Percent
- Course paper 30 Percent

Attendance in all units is a requirement for graduation of the course.

Minimum requirements and assessment criteria

- Understanding the principles of selected multivariate business statistics techniques
- Realising how to use these techniques in scientific work
- Applying the techniques in a practical data analysis project

Examination topics

Reading list

- Hair, J.F.Jr., Black, W.C., Babin, B.J., Anderson, R.E. (2010): Multivariate Data Analysis, 7th ed., Prentice Hall
- Iacobucci, D., Churchill, G.A.Jr., (2015): Marketing Research – Method. Foundations, 11th ed., South-Western
- [Supplement: Tabachnik, B.G., Fidell, L.S. (2013): Using Multivariate Statistics, 6th ed., Pearson]
- [Supplement: Backhaus, K. et al. (2011): Multivariate Analysemethoden, 13. Aufl., Springer]

Association in the course directory

Last modified: Mo 07.09.2020 15:46