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Multivariate Methods

  • 7.5 credits

The course gives you knowledge about different multivariate methods. The course also covers how software packages for multivariate methods can be used. The methods are mainly illustrated by applications in behavioural science, making the course especially interesting for students aimed at quantitative research.

This course provides an introduction to several important multivariate methods with special focus on principal components, factor analysis, discriminant analysis, logistic regression and cluster analysis. Basics of matrix algebra required for the course are introduced. You will use the statistical software R in laboratory sessions to exemplify and complement lecture material.

  • Course structure

    The course is given at day time, full time.

    Teaching format

    The teaching forms consist of lectures and exercises.

    Course information

    More course information for registered students in Athena.

    Assessment

    Examination will be in the form of written and oral examination.

    Examiner

    Teachers spring 2020

    Course coordinator

    Mahmood Ul Hassan

    You will find Mahmood's reception hours in the link above. If you want to visit Mahmood outside of her reception hours, you are welcome to e-mail her for an appointment.

  • Contact

    If you have questions about the course, please contact the cours coordinator:

    Teachers spring 2020

    Course coordinator

    Mahmood Ul Hassan

    You will find Mahmood's reception hours in the link above. If you want to visit Mahmood outside of her reception hours, you are welcome to e-mail her for an appointment.

    If you have questions about studying at the Department of Statistics, please contact our study- and career counselor: Jenny Rosen.

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