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PLS0067

Statistical methods - an overview

The course is built on lectures and computer exercises with assignments. The main topics are:

- Design of experiments.

- Analysis of variance.

- Regression.

- Generalized linear models.

- Non-parametric methods.

- Multivariate statistical methods.



The content of the final project in the course depends on what specific methods and type of data the participants have in their research project.

Kursplan och övrig information

Kursplan

PLS0067 Statistical methods - an overview, 4,5 Hp

Ämnen

Matematisk statistik

Utbildningens nivå

Forskarnivå

Förkunskapskrav

A basic course in statistics is required. The course is primarily for students at the PhD level who already have collected some data in their research project.

Mål

The aim of the course is that the student becomes better at handling and analyzing quantitative data using different statistical methods. After the course the student is expected to be more confident about which methods are appropriate for hers/his research and how to apply these.

Innehåll

The course is built on lectures and computer exercises with assignments. The main topics are:

- Design of experiments.

- Analysis of variance.

- Regression.

- Generalized linear models.

- Non-parametric methods.

- Multivariate statistical methods.



The content of the final project in the course depends on what specific methods and type of data the participants have in their research project.

Examinationsformer och fordringar för godkänd kurs

Approved assignments during the course and written paper and oral presentation related to the students’ research project.

Ytterligare information

Examination Approved assignments during the course and written paper and oral presentation related to the students’ research project.

The course is given during January-February in Alnarp. The total time for the course is approximatetly 120 h.

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Ansvarig institution/motsvarande

Institutionen för Biosystem och teknologi