Fitting nonlinear regression functions and determining reliable confidence intervals.
Objective
Participants know the challenges that arise in fitting nonlinear regression functions. In addition, they are aware of the difference between classical and profile based methods to determine confidence intervals.
Content
Nonlinear regression models, estimation methods, approximate tests and confidence intervals, estimation methods, profile t plot, profile traces, parameter transformations, prediction and calibration.
Lecture notes
Lecture notes are available.
Performance assessment
Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course