Course ObjectiveThe goals of this course are to get acquainted with some of the most
commonly used statistical models, to learn how to apply these models in
valid settings, and to understand the basic theory behind these models.
Course ContentAnalysis of Variance, Generalized Linear Models, Non-linear Models, Time
Teaching MethodsLectures and tutorials.
Method of AssessmentAssignments and examination.
Entry RequirementsStatistics course.
LiteratureLecture notes "Statistical Models" by M.C.M. de Gunst.
Target AudiencemBA, mBA-D, mMath
Additional InformationStudents will use statistical package R (www.r-project.org) for data
Recommended background knowledgeLinear Algebra, Probability Theory and Statistics. Statistical Data
|Language of Tuition||English|
|Faculty||Faculty of Science|
|Course Coordinator||dr. E.N. Belitser|
|Examiner||dr. E.N. Belitser|
dr. E.N. Belitser
You need to register for this course yourself
Last-minute registration is available for this course.
This course is also available as: