PhD basic courses in transferable skills


Statistics III: Regression analysis, Umeå

The course will cover the following topics:

  • Simple linear regression.
  • Multiple linear regression.
  • Nonlinear models.
  • Nonparametric regression and generalized additive models (GAM).
  • Analysis of residuals.

4 credits

Statistics I or equivalent, i.e. knowledge of basic principles of hypothesis testing and confidence intervals.

Admitted to a Ph.D. program at SLU. If you are not a Ph.D. student or not at SLU, contact to check the availability of places in the course.


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