Topics in Non-Life Insurance (Skade2)

Course content

Various distributions that are useful in non-life insurance
The impact of deductibles on the insurance premium calculations
Maximum likelihood methods, including the adjustment for deductibles. Also use of the delta method.
Asymptotic properties of the estimators
Model selection methods
Non-parametric methods
Some linear and generalized linear model theory
Course description: Distributions in insurance, deductibles, maximum likelihood estimation, model choice, non parametric method, linear and generalized linear models.


MSc Programme in Actuarial Mathematics

Learning outcome

Knowledge: A good knowledge of the various items under contents
Skills: To be able to understand a concrete problem in the setting of the course
Competences: To be able to transform the knowledge into actual implementation of a method to solve practical problems.

5 hours of lectures each week for 7 weeks.

Bachelor in insurance mathematics or similar.

7,5 ECTS
Type of assessment
Written examination, 3 hours under invigilation
All aids allowed
Marking scale
7-point grading scale
Censorship form
External censorship
Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

Single subject courses (day)

  • Category
  • Hours
  • Exam
  • 3
  • Preparation
  • 135
  • Lectures
  • 28
  • Project work
  • 40
  • English
  • 206