Course detail

Models of regression

FAST-DA64OptionalDoctoral (3rd cycle)Acad. year: 2017/2018Winter semester2. year of study10  credits

multidimensional normal distribution, conditional probability distribution
regression function
linear regression model
nonlinear regression model
analysis of variance
factor analysis
The use of statistical system STATISTICA and EXCEL for regression analysis.

Learning outcomes of the course unit

Not applicable.

Mode of delivery

20 % face-to-face, 80 % distance learning

Prerequisites

Subjects taught in the course DA03, DA62 - Probability and mathematical statistics Basics of the theory of probability, mathematical statistics and linear algebra - the normal distribution law, numeric characteristics of random variables and vectors and their point and interval estimates, principles of the testing of statistical hypotheses, solving a system of linear equations, inverse to a matrix.

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

ANDĚL, J.: Matematická statistika. SNTL/ALFA Praha 1978
HEBÁK, P., HUSTOPECKÝ, J., MALÁ, I: Vícerozměrné statistické metody 1,2.3. INFORMATORIUM PRAHA 2007
ANDĚL, J.: Statistické metody. MATFYZPRESS PRAHA 2007
MELOUN, M., MILITKÝ, J.: Statistické zpracování experimentálních dat. PLUS Praha 1994
WALPOLE, R.E., MYERS, R.H.: Probability and Statistics for Engineers and Scientists. Macmillan Publishing Company New York 1990

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Not applicable.

Language of instruction

Czech

Work placements

Not applicable.

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.

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.

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer