ST502: Statistical Modelling (5 ECTS)

STADS: 25000201

Level
Bachelor course

Teaching period
The course is offered in the autumn semester.
First quarter.

Teacher responsible
Email: yuri.goegebeur@stat.sdu.dk

Timetable
Show entire timetable
Show personal time table for this course.

Revison of timetable:
: M1 torsdag uge 40 har flyttet lokale.

Comment:
Ubegrænset deltagerantal

Prerequisites:
None

Academic preconditions:
The contents of one of the courses ST501 Science Statistics or ST503 Statistics for biologists must be known.

Course introduction
To acquire understanding of statistical modelling based on linear models, and to use statistical software for analysing experimental data using such models.

Acquired skills:
The participants will acquire skills in
• understanding the types of problems which can be addressed using linear models;
• understanding the principles for estimation and statistical inference in linear models;
• knowing the common types of linear models and their applications;
• analysing experimental data using linear models;
• formulating a correct linear model for a given data set;
• communicating results from data analyses in reports.

Expected learning outcome
After having followed the course the student should be able to

• reproduce key theoretical results concerning elementary operations on random variables and to apply these to simple theoretical assignments
• work with the concepts and models, both in scalar and matrix/vector representation
• understand and identify problems that can be solved using linear models
• discuss and apply the principles of estimation and statistical inference in linear models
• perform a practical data analysis using linear models
• build an appropriate model for a given dataset
• perform programming relevant to the content of the course in the statistical package used in the course,
• identify and interpret relevant information in the output of the statistical package used in the course
• summarize the results of an analysis in a statistical report

Subject overview
Linear models, simple and multiple regression models. Parameter estimation, hypothesis tests and confidence areas. Residual analysis. Transformation of variables, polynomial regression. One-way ANOVA. Model building and variable selection. Prediction.

Literature

Meddeles ved kursets start.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
3 hours written exam with all aids (books, notes and calculator). Grades: using the 7-scale, external censorship. Mandatory assessments (internal censorship by teacher: pass/fail), which the participants must pass in order to sit the exam. The assessments may be submitted by groups of max. 3 persons. Examination is only available when the course has run. Examination at other times only by application to studienævnet.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger (28 timer), eksaminatorier (12 timer), laboratorieøvelser (10 timer).
Educational activities

Language
This course is taught in English.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.