Universität Wien

390016 DK PhD-M: Multivariate Business Statistics (2017W)

10.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

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/

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 10.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 17.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 24.10. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 07.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 14.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 21.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 28.11. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 05.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 12.12. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 16.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 23.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 30.01. 15:00 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course consists of three parts. In the first part, the theoretical principles of selected multivariate techniques are presented by the lecturer. Since not all the material can be covered in the lecture, careful reading of the relevant chapters in the textbooks is necessary. This part ends with a written examination. In the second part, the participants are expected to present a scientific article in which one or more multivariate techniques are used (mid-term presentations). In the third part, the participants conduct a practical data analysis project with a given data set. For data analysis, the SPSS package is used. The written seminar papers have to be handed over to the lecturer one week before the end-term presentation by the latest.

Art der Leistungskontrolle und erlaubte Hilfsmittel

- 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.

Mindestanforderungen und Beurteilungsmaßstab

- 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

Prüfungsstoff

Literatur

- 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]

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:46