$Mathematical Statistics$

SF2930 Regression Analysis - Exercises

Spring, 2018

Exercise session 1 - 19/01, 08.00-10:00, D1

exercises_1.pdf
rocket.data
R-code for exercise 2.23 and examples 2.1 - 2.7: mont_2.23.R, mont_example_2.1-2.7.R

To start wokring with R, you should download the program at https://www.r-project.org/. Rstudio will be used on the exercise sessions as an editor. You can download it from here https://www.rstudio.com/ and install it on your own computer. A quick introduction to R for beginners can be found here http://www.statmethods.net/

Exercise session 2 - 24/01, 08:00-10:00, E1

exercises_2.pdf
R-code for exercise 3.1: mont_3.1.R

Exercise session 3 - 31/01, 10:00-12:00, F2

exercises_3.pdf
R-code for exercise 4.1: mont_4.1.R
R-code for exercise 4.2: mont_4.2.R
R-code for exercise 5.8: mont_5.8.R
R-code for exercise 5.10: mont_5.10.R

Exercise session 4 - 05/02, 08:00-10:00, D1

exercises_4.pdf
R-code for exercise 4: exercise_4.R
R-code for exercise 9.6: 9.6.R
R-code for exercise 4.2: mont_6.1.R
R-code for exercise 10.6: mont_9.10.R
R-code for resampling plot: resplot.R

Exercise session 5 - 12/02, 13:00-15:00, M1

exercises_5-1.pdf
R-code for exercise 6.8.9: James 6.8.9.R
R-code for exercise 6.8.8: James 6.8.8.R
R-functions used in the exercises: functions_sf2930.R

Exercise session 6 - 20/02, 13:00-15:00, D1.

GLM-modeling with R.

Exercise session 7 - 20/02, 13:00-15:00, Baltzar, Christopher, Nils. GLM-modeling with R.

GLM-modeling with R.

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Published by: Tatjana Pavlenko. Uppdated: 15/01-2017