447-6222-02L  Nonlinear Regression

SemesterSpring Semester 2020
LecturersA. F. Ruckstuhl
Periodicitytwo-yearly recurring course
Language of instructionEnglish
CommentOnly for DAS and CAS in Applied Statistics.

AbstractFitting nonlinear regression functions and determining reliable confidence intervals.
ObjectiveParticipants 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.
ContentNonlinear regression models, estimation methods, approximate tests and confidence intervals, estimation methods, profile t plot, profile traces, parameter transformations, prediction and calibration.
Lecture notesLecture notes are available.