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
Czech
Number of ECTS credits
10
Mode of study
Not applicable.
Guarantor
Department
Institute of Mathematics and Descriptive Geometry (MAT)
Learning outcomes of the course unit
Not applicable.
Prerequisites
Subjects taught in the course DA52, DA62 - Probability and mathematical statistics
Co-requisites
Not applicable.
Planned learning activities and teaching methods
Not applicable.
Assesment methods and criteria linked to learning outcomes
Requirements for successful completion of the subject are specified by guarantor’s regulation updated for every academic year.
Course curriculum
1. Multidimensional normal distribution, conditional probability distribution.
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.
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
Not applicable.
Aims
To provide the students with knowledge needed for sophisticated applications of statistical methods.
Specification of controlled education, way of implementation and compensation for absences
Extent and forms are specified by guarantor’s regulation updated for every academic year.
Recommended optional programme components
Not applicable.
Prerequisites and corequisites
Not applicable.
Basic literature
Not applicable.
Recommended reading
Not applicable.
Classification of course in study plans