ST515: Generalized Linear Models (5 ECTS)

STADS: 25001601

Level
Bachelor course

Teaching period
The course is offered in the spring semester.
4.th. quater

Teacher responsible
Email: yuri.goegebeur@stat.sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Comment:
Ubegrænset deltagerantal. 4. kvartal.

Prerequisites:
None

Academic preconditions:
The courses ST502 Statistical Modelling and ST505 Statisical Simulation are recommended

Course introduction
To gain knowledge about the principles, methods and applications of generalized linear models. Participants will learn to implement and to evaluate the methods in the statistical software R.

Expected learning outcome
- reproduce key theoretical concering elementary operations on random variables and random vectors, and to apply these to simple theoretical assignments,
- work with the concepts and models,
- understand and identify problems that can solved using generalized linear models,
- perform a practical data analysis with the techniques from the course,
- perform programming relevant to the content of the course in the statistical package used in the course,
- identify and intertret relevant information in the output og the statistical package used in the course,
- summarize the results of an analysis in a statistical report.

Subject overview
Natural exponential families; moment generating functions; variance functions; dispersion models; likelihood theory; chi-square, F-and t-tests; analysis of deviance; residual analysis; iterative least squares algorithm; normal linear models, logistic regression, analysis of count data, positive data.

Literature

• Meddeles ved kursets start.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
a) Mandatory assignments, pass/fail, internal evaluation by teacher. The mandatory assignments must be passed in order to take the oral exam.
b) oral eksam. the project assignment is a part of the oral exam. pass/fail, internal examiner

re-exam after 2nd. quater

Expected working hours
The teaching method is based on three phase model.

Forelæsninger: 28
Eksaminatorietimer/opgaveregning: 10
Laboratorieøvelser: 12

Educational activities

Language
This course is taught in Danish or English, depending on the lecturer. However, if international students participate, the teaching language will always be English.

Remarks
The course is optional in the following curricula: IT & Datamangement

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.