4 Nov
6 Dec


SILVA PhD course: Statistics IV: Generalized Linear Models, 4 hp

seminars, workshops |

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
  • interpret and evaluate results correctly and draw reasonable conclusions
  • clearly and concisely communicate results and conclusions



Time: 2024-11-04 - 2024-12-06
City: Distance
Organiser: Department of Forest Resource Management
Last signup date: 19 October 2024
Additional info:

Prior knowledge
Statistics III: Regression Analysis or equivalent.

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.