TMA4267 Linear statistical models Spring 2026

Welcome to TMA4267 Linear statistical models in the spring semester of 2026.

See General information for contact information, curriculum and teaching materials. The page Exercises and assignments will be updated regularly with both recommended exercises and compulsory assignments.

Re-sit exam: Here is the re-sit exam and solution sketch. Each question (1a, 1b, etc) counted 10 points each and ths grading scale was used.

Previous messages:

The exam grading is done and will be available soon. Here is the grading manual . I have written comments to all of you (also A-s!). If you ask for a grade explanation (begrunnelse) you will see my comments. If you have any questions about your grade or the explanation, please dont hesitate to contact me.

Here is the exam, and solution sketch.

I have 113 exams to grade, which is quite a lot more than usual. I intend to write a personal explanation to all of you, which will be available the same time as the grade. This will probably take a few weeks to complete, so please be patient.

Lecture plan

Part 1: Chapters 3, 4, 5

Date Chapters Notes Comments
 8.1.26 Chapter 1 and 2.13 Notes, Slides
 13.1.26 Chapter 3.1 - 3.5 Notes, Slides
 14.1.26 Chapter 3.6 Assignment 1 Interactive lecture: Assignment 1 Prepare by reading Chapter 3.6 before the lecture, you will work on assignment 1 in class (no ordinary lecture, see Exercises and assignments for more details)
 20.1.26 Chapter 4.1 - 4.4 Notes, Slides
 22.1.26 Chapter 4.4 (thm 4.4c and 4.4d.) Assignment 2 Interactive lecture: Assignment 2 Prepare by reading Chapter 4.4 (selected theorems) before the lecture, you will work on assignment 2 in class (no ordinary lecture, see Exercises and assignments for more details)
 27.1.26 Finish Chap. 4, 5.1 - 5.4 Notes, Slides
 29.1.26 5.4 - 5.6 Notes
 3.2.26 Chapter 3, 4, 5 Assignment 3 We have now finished Part 1 of the course, a detailed curriculum can be found under General information

Part 2: Chapters 6, 7, 8, 9, 10

Date Chapters Notes Comments
 5.2.26 Chapter 6.1, 6.2, 7.1, 7.2, 7.3.1 Notes, Slides R code
 10.2.26 Chapter 7.3.2, 7.3.3, 7.6 Notes
 12.2.26 Chapter 7.2, 7.3.2, 7.3.3 and application in R Assignment 4 In room VE22 - SMASH (bring laptop with R and RStudio installed), see Exercises and assignments for more details)
 17.2.26 Chapter 7.4, 7.7, 7.9, 7.10, 8.1 Notes
 19.2.26 Chapter 8.2, 8.4, 8.5.1, 8.6.1 - 8.6.5 Notes
 24.2.26 Chapter 8.7, 8.5.2 (only Bonferroni), 7.8, 17.1 - 17.2 Notes, Slides R examples
 26.2.26 Chapter 7 and 8 Assignment 5 Pen and paper exercises in lecture room, see Exercises and assignments for more details
 3.3.26 Chapter 17 Notes, Slides R examples
 5.3.26 Chapter 17 Notes R examples
 10.3.26 Chapter 9 Notes, Slides
 12.3.26 Chapter 7-9, 17 Main building (Hovedbygningen) 326 Assignment 6 Note: Bring laptop, we will work with applications of linear and linear mixed models

Part 3: Chapters 12-14 (ANOVA, DOE)

Date Topic Notes Comments
 17.3.26 1-way ANOVA Notes, Slides
 19.3.26 Cancelled
 24.3.26 No lecture (excursion)
 26.3.26 No lecture (excursion)
 31.3.26 No lecture (easter)
 2.4.26 No lecture (easter)
 7.4.26 No lecture (easter)
 9.4.26 2-way ANOVA and ANOVA table Notes, Slides
 14.4.26 2-way ANOVA with interactions Notes, Slides
 16.4.26 2-level factorial designs Notes, Slides
 21.4.26 Summary-of-everything Notes
 23.4.26 Exam preparation Solving selected previous exam problems on the board: 2018 Problem 3 and 4, 2021 Problem 1
 28.4.26 Exam preparation Teacher(s) available for individual questions in the lecture room.
 30.4.26 Exam preparation Teacher(s) available for individual questions in the lecture room.
2026-08-24, Thea Bjørnland