107.425 Generalized linear regression models
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2014S, VU, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Aim of course

Basics of regression analysis

Subject of course

Basics of regression analysis

Additional information


Lecturers

  • Dutter, Rudolf

Institute

Course dates

DayTimeDateLocationDescription
Thu11:00 - 12:0006.03.2014 Gold. Lamm: BibliothekPrelim. Discussion
Thu10:30 - 12:0013.03.2014 - 26.06.2014 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Generalized linear regression models - Single appointments
DayDateTimeLocationDescription
Thu06.03.201411:00 - 12:00 Gold. Lamm: BibliothekPrelim. Discussion
Thu13.03.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu20.03.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu27.03.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu03.04.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu10.04.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu08.05.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu15.05.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu22.05.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu05.06.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu12.06.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle
Thu26.06.201410:30 - 12:00 Goldenes Lamm, BibliothekVerall. lin. Regressionsmodelle

Examination modalities

Mündliches Gespräch über den Vorlesungsstoff inklusive Präsentation der von den Teilnehmern selbst ausgearbeiteten Übungsbeispielen

Termine: Nach persönlicher Vereinbarung

Course registration

Begin End Deregistration end
18.02.2014 00:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 531 Data Engineering & Statistics Mandatory3. Semester

Literature

Handouts werden zur Verfügung gestellt.

Tutz, G. (2012): Regression for Categorical Data. Cambridge.

Dobson, A.J., Barnett, A.G.. (2008): An Introduction to Generalized Linear Models. CRC Press.

Madsen, H., Thyregod, P. (2011): Introduction to General and Generalized Linear Models. CRC Press.

Fox, J. (2002). An R and S-PLUS Companion to Applied Regression. Sage Publications.

Preceding courses

Continuative courses

Miscellaneous

  • Attendance Required!

Language

German