Padlets under construction: please contribute
For the table: lecture slides will be available before each lecture and classnotes and R-code directly after each lecture. Exercises will available in week 6.
and Quiz.
Week | Dates | Topic (L=lecture, S=supervision) | Handouts | Chapters/Resources | Exercises/Rcode |
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6 | 07.02 | L7: The linear regression model - NB KLJ1! | L7.pdf and L7classnotes.pdf | F3.1 (p 73-86) | L7.R |
6 | 09.02 | S6: Supervision of RecEx3 in the new interactive room Smia on the 2.etg of sentralbygg2, room 212. We will work with Problems 1 and 2 in groups. PC available for each group. Solutions to RecEx3 will be available after this supervision. |
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6 | 10.02 | L8: Model assessment, covariates, parameter estimation | L8.pdf and L8classnotes.pdf |
F3.1.2, F3.1.3, F3.2 Maximum likelihood in general with Poission example (in Norwegian) |
L8.R |
7 | 14.02 | L9: Parameter estimation, properties of estimators. | L9.pdf and L9classnotes.pdf | F3.2 | L9.R |
7 | 16.02 | S7: Supervision of RecEx3 in Smia. Suggestion: work with RecEx3P3 - useful for L10. | |||
7 | 17.02 | L10: Properties of residuals, distribution of sigmahat, confidence intervals and hypotheses about betaj, R2 | L10.pdf and L10classnotes.pdf | F3.2 Repetition about hypothesis testing (in Norwegian), and video about how to calculate a p-value (in Norwegian) | L10.R |
8 | 21.02 | L11: Final part of F3.2: Parameter estimation, start on F3.4 Model selection | L11.pdf and L11classnotes.pdf | F3.4 | L11.R |
8 | 23.02 | S8: Supervison of RecEx4, and CompulsoryPart4 a) and b) in Smia | |||
8 | 24.02 | L12: F3.4: Model selection, briefly BoxCox and Taylor approximations to mean and variance of nonlinear functions of RVs. | L12.pdf, L12classnotes.pdf and Quiz | F3.4 | L12.R |
9 | 28.02 | S9: Supervision in EL6: 12.15-14.00 | CompulsoryPart2.pdf | ||
9 | 02.03 | S10: Supervision in Smia |
Here:
and a file merged together to TMA4267Part2and3_v17.pdf (for Part 2 and 3 together).