Course - Linear Statistical Models - TMA4267
Linear Statistical Models
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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.
Recommended previous knowledge
The course is based on TMA4240/4245 Statistics, or equivalent.
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 |
Other pages about the course
Subject areas
- Statistics
- Technological subjects