Exercises for Statistical Theory and Modelling, 7.5 hp

AI generated image of a mixture distribution

The course builds on mathematical and statistical concepts that you need to train on by solving many exercises.

Schedule

The course schedule can be found on TimeEdit.

Literature - problems

The exercise numbers below uses the numbering in the course book (denoted by MSA below):
Wackerley, Mendenhall and Scheaffer (2021). Mathematical Statistics with Applications, 7th edition, Cengage.

Note: Problems in the book marked with Applet exercises should be solved with the Observable widgets for the course.

Exercise contents

Exercise 1 - Differentiation, optimization and integration.
Problems: MSA X.X, Y.Y, …

Exercise 2 - Discrete random variables.
Problems: MSA 3.1, 3.9, 3.12, 3.33, 3.39, 3.40, 3.92, 3.93, 3.94, 3.122, 3.124, 3.125, 3.167

Exercise 3 - Continuous random variables.
Problems: MSA 4.9, 4.11, 4.12, 4.14, 4.20, 4.30, 4.71, 4.84, 4.85, 4.88, 4.105a. 4.109, 4.110, 4.114a-d, 4.115, 4.121, 4.128

Exercise 4 - Joint and conditional distributions.
Problems: MSA X.X, Y.Y, …

Exercise 5 - Transformation of variables.
Problems: MSA X.X, Y.Y, …

Exercise 6 - Maximum likelihood estimation.
Problems: MSA 9.80, 9.81, 9.83,

Exercise 7 - Linear algebra. Linear regression in matrix form.
Problems: MSA X.X, Y.Y, …

Exercise 8 - Time series
Problems: MSA X.X, Y.Y, …