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447-6222-02L 1 Credits WBZ D-MATH

Nonlinear Regression

Lecturers & Examiners: Prof. Dr. Andreas Franz Ruckstuhl
VVZ CR n/a

Last Updated: 2026-06-03 00:14:08

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

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Nonlinear Regression
Block course Mon 15.06.26 14:15 - 18:00 Mon 22.06.26 08:15 - 12:00 Mon 22.06.26 14:15 - 18:00
  • 15.06 Date 14:15-18:00 (HG D 1.2)
  • 22.06 Date 08:15-12:00 (HG D 1.2)
  • 22.06 Date 14:15-18:00 (HG D 1.2)
10.5 h semesterly

Offered In