# 732A93 Statistical Methods

### Course information

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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).

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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.

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Course schedule:

The course schedule is available here.
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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.

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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.

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Course start:

The course starts in August 25,
at 15:15 in R43, C Building.

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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: 2021-08-19