The objective of the course is to give an overview of linear, nonlinear and nonparametric regression. On completion of the course, the student will be able to: • specify regression models including conditions and assumptions • select an appropriate regression model for a given problem • carry out a regression analysis in the statistical software R • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions
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 firstname.lastname@example.org to check the availability of places in the course.
Det finns inga kurstillfällen för denna kurs just nu