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Abstract
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.
Resources
Lecture Notes
Lecture notes are available.
General Information
- Language
- English
- Levels
- WBZ
- Frequency
- Every two years
Examination
- Type
- ungraded semester performance
Registration & Places
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Nonlinear Regression
Does not take place this semester.
Block course
|
No time listed | 6 h semesterly |
| exercise |
Nonlinear Regression
Does not take place this semester.
Block course
|
No time listed | 4.5 h semesterly |