course-details-portlet

TMA4267

Linear Statistical Models

Choose study year
Credits 7.5
Level Third-year courses, level III
Course start Spring 2025
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

Random vectors. Multivariate normal distribution. Multiple linear regression. Analysis of variance. Multiple hypothesis testing. Design of experiments.

Learning outcome

1. Knowledge. The student has strong theoretical knowledge about the most popular statistical models and methods that are used in science and technology, with emphasis on regression-type statistical models. The statistical properties of the multivariate normal distribution are well known to the student, and the student is familiar with the role of the multivariate normal distribution within linear statistical models.

2. Skills. The student knows how to design an experiment and how to collect informative data of high quality to study a phenomenon of interest. Subsequently, the student is able to choose a suitable statistical model, apply sound statistical methods, and perform the analyses using statistical software. The student knows how to present the results from the statistical analyses, and how to draw conclusions about the phenomenon under study.

Learning methods and activities

Lectures, exercises and a written exam.

Compulsory assignments

  • Exercises

Further on evaluation

Retake of examination may be given as an oral examination. The retake exam is in August.

Students are free to choose Norwegian or English for written assessments.

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From
TMA4255 5 sp Autumn 2008
TMA4260 5 sp Autumn 2008
TMA4270 2.5 sp Autumn 2008
ST2202 5 sp Autumn 2008
SIF5068 5 sp Autumn 2008
SIF5038 2.5 sp Autumn 2008
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Statistics
  • Technological subjects

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Mathematical Sciences