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.


447-6222-02 VNonlinear Regression
Block course
6s hrs
15.06.13:15-15:00HG D 1.2 »
22.06.08:15-10:00HG D 1.2 »
13:15-15:00HG D 1.2 »
A. F. Ruckstuhl
447-6222-02 UNonlinear Regression
Block course
4.5s hrs
15.06.15:15-17:00HG D 1.2 »
22.06.10:15-12:00HG D 1.2 »
15:15-17:00HG D 1.2 »
A. F. Ruckstuhl

Catalogue data

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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits1 credit
ExaminersA. F. Ruckstuhl
Typeungraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.


No information on groups available.


PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupCAS ETH in Applied Statistics (446000)
DAS ETH in Applied Statistics (447000)

Offered in

CAS in Applied StatisticsFurther CoursesWInformation
DAS in Applied StatisticsElectivesWInformation