040690 UK Generalized Linear Model (2017S)
Continuous assessment of course work
Labels
Absolvieren Studierende des Bac Statistik (Version 2014) diesen Kurs, so wird beim Abschluss der Überhang an ECTS dem Wahlfach zugeordnet.
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).
- Registration is open from We 15.02.2017 09:00 to We 22.02.2017 12:00
- Deregistration possible until Tu 14.03.2017 23:59
Details
max. 40 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
07.03.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
14.03.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
21.03.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
28.03.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
04.04.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
25.04.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
02.05.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
09.05.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
16.05.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
23.05.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
30.05.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
13.06.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
20.06.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
27.06.
09:45 - 13:00
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
Assessment and permitted materials
Attendance of the lectures (at most 3 missing)
In each block 2 exercises have to be solved and presented in accordance with the time schedule.
There are two tests: one for block I and II and one for blocks III - V
In each block 2 exercises have to be solved and presented in accordance with the time schedule.
There are two tests: one for block I and II and one for blocks III - V
Minimum requirements and assessment criteria
Weights of the different assignments:
15% Exercises Block I
15% Exercises Block II
8% Exercises Block III
7% Exercises Block IV
15% Exercises Block V
20% First test
20% Second test
15% Exercises Block I
15% Exercises Block II
8% Exercises Block III
7% Exercises Block IV
15% Exercises Block V
20% First test
20% Second test
Examination topics
Topics presented in the lectures
Reading list
Agresti,A. (2002). Categorical Data Analysis. John Wiley & Sons.
Dobson, A.J. (2001). An Introduction to Generalized Linear Models, Second Edition. Chapman and Hall.
Fahrmeir, L., Kneib, T. und Lang, S. (2007). Regression: Modelle, Methoden und Anwendungen, Springer.
Faraway, J.J. (2005). Linear models with R, Chapman & Hall.
Faraway, J.J. (2005). Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall.
Fox, J.(2008). Applied Regression Analysis and Generalized Linear Models, Sage.
Hosmer, D.W. & S. Lemeshow (2000). Applied Logistic Regression, Second Edition. John Wiley & Sons.
Kleinbaum, D. G. (1994): Logistic Regression. A Self-Learning Text. Springer.
Nelder J.A. & P. McCullagh (1989). Generalized Linear Models, Second Edition. Chapman& Hall.
Dobson, A.J. (2001). An Introduction to Generalized Linear Models, Second Edition. Chapman and Hall.
Fahrmeir, L., Kneib, T. und Lang, S. (2007). Regression: Modelle, Methoden und Anwendungen, Springer.
Faraway, J.J. (2005). Linear models with R, Chapman & Hall.
Faraway, J.J. (2005). Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Chapman & Hall.
Fox, J.(2008). Applied Regression Analysis and Generalized Linear Models, Sage.
Hosmer, D.W. & S. Lemeshow (2000). Applied Logistic Regression, Second Edition. John Wiley & Sons.
Kleinbaum, D. G. (1994): Logistic Regression. A Self-Learning Text. Springer.
Nelder J.A. & P. McCullagh (1989). Generalized Linear Models, Second Edition. Chapman& Hall.
Association in the course directory
Last modified: Mo 07.09.2020 15:29
Students learn advanced statistical methods, know how to use this methods in statistical modelling and apply this methods in statistical practice.Contents:
Block I: Piecewise Regression und Regression Trees
Block II: Logistic Regression
Block III: Analysis of Variance und Experimental Design,
Block IV Random effect models
Block V: Loglineare models and introduction to generalized linearer modelsMethods:
Lecture combined with practical exercises