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

Mode of study

Not applicable.

Guarantor

RNDr. Helena Koutková, CSc.

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.

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.

Type of course unit

Lecture

39 hod., optionally

Teacher / Lecturer

RNDr. Helena Koutková, CSc.

VUT

Faculties

University Institutes

Parts

Models of regression

Type of course unit