732A93 Statistical Methods
Course information
Course contents:
The course aims to provide the
student with
a theoretical basis of statistical concepts and methods
that are required for
qualified work and research in statistics.
The topics covered include:
- Basic concepts in probability.
- Discrete random variables and their probability distributions.
- Continuous random variables and their probability distributions.
- Multivariate probability distributions.
- Sampling distributions and the central limit theorem.
- Estimation.
- Properties of point estimators and methods of estimation.
- Hypothesis testing.
- Linear models and estimation by least squares.
- Introduction to Bayesian methods for inference.
- Imputation techniques (Computer Assignment).
Course organisation:
The teaching is comprised of
lectures/seminars, which are devoted to presenting the theory and concepts,
and to solve and discuss selected exercises.
Course schedule:
The course schedule is available here.
Examination:
The course examination consists in two parts:
- A 4-hours final written exam (5 ECTS).
- A written report on the computer assignment (1 ECTS).
Examination dates are available here.
Course book:
Wackerly, D., Mendenhall, W. and Schaeffer, R. (2008).
Mathematical Statistics with Applications, 7th edition.
Brooks/Cole, Cengage learning. ISBN-13: 978-0-495-38508-0. ISBN-10: 0-495-38508-5.
Course start:
The course starts on August 28,
at 10:15 in FE249, in F Building.
Prerequisities:
Undergraduate courses in mathematics that include both calculus and linear
algebra.
Basic undergraduate courses in statistics and programming are also required.
Page responsible: Ann-Charlotte Hallberg
Last updated: 2023-08-04