Print Syllabus

Syllabus

PNS0186 Statistics IV: Generalized Linear Models, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Language

English

Prior knowledge

Statistics III: Regression Analysis or equivalent.

Objectives

The objective of the course is to give an overview of generalized linear models. On completion of the course, the student will be able to:

• specify generalized linear models including conditions and assumptions

• select an appropriate linear model for a given problem

• carry out an analysis based on a generalized linear model in the statistical software R or SAS

• interpret and evaluate results correctly and draw reasonable conclusions

• clearly and concisely communicate results and conclusions

Content

The course will cover the following topics:

• Binomial and multinomial logistic regression

• Poisson regression

• Overdispersion and zero-inflation.

• Generalized linear models and generalized linear mixed models.

Responsible department

Department of Energy and Technology