Course detail
Models of regression
FAST-DA64Acad. year: 2011/2012
- multidimensional normal distribution, conditional probability distribution
- regression function
- linear regression model
- nonlinear regression model
- analysis of variance
- factor analysis
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. Regression function.
3. - 5. Linear regression model.
5.-7. General linear regression model.
8. Singular linear regression model.
9.-10. Analysis of variance.
11.-12.Factor analysis.
13. Nonlinear regression model.
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
- Programme D-P-C-SI (N) Doctoral
branch FMI , 1 year of study, summer semester, elective
branch KDS , 1 year of study, summer semester, elective
branch MGS , 1 year of study, summer semester, elective
branch PST , 1 year of study, summer semester, elective
branch VHS , 1 year of study, summer semester, elective - Programme D-K-C-SI (N) Doctoral
branch FMI , 1 year of study, summer semester, elective
branch KDS , 1 year of study, summer semester, elective
branch MGS , 1 year of study, summer semester, elective
branch PST , 1 year of study, summer semester, elective
branch VHS , 1 year of study, summer semester, elective