P000003, Statistics IV: Generalized Linear Models, 4.0 Hp
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Syllabus

Level

Third cycle

Grading Scale

The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.

Course language

English

Entry Requirements

Objectives

The objective of the course is to give an overview of generalized linear models with applications in the agricultural sciences and related fields of research. On completion of the course, the student will be able to:

• specify generalized linear models including assumptions

• select an appropriate generalized linear model for a given problem

• use the statistical software R for generalized linear modelling

• 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
• count regression (Poisson, negative binomial)
• generalized linear mixed models
• overdispersion and zero-inflation

Examination Formats and Requirements for Passing the Course

Passed exercises and passed examination in written and/or oral form

Responsible Department/Equivalent

Department of Energy and Technology

Supplementary information