Course Details

# Models of regression

DAB037 course is part of 20 study plans

DPC-V Winter Semester 2nd year

DPC-S Winter Semester 2nd year

DPC-M Winter Semester 2nd year

DPC-K Winter Semester 2nd year

DPC-E Winter Semester 2nd year

DPA-V Winter Semester 2nd year

DPA-S Winter Semester 2nd year

DPA-M Winter Semester 2nd year

DPA-K Winter Semester 2nd year

DPA-E Winter Semester 2nd year

DKC-V Winter Semester 2nd year

DKC-S Winter Semester 2nd year

DKC-M Winter Semester 2nd year

DKC-K Winter Semester 2nd year

DKC-E Winter Semester 2nd year

DKA-V Winter Semester 2nd year

DKA-S Winter Semester 2nd year

DKA-M Winter Semester 2nd year

DKA-K Winter Semester 2nd year

DKA-E Winter Semester 2nd year

Multidimensional normal distribution, conditional probability distribution. Regression function. Linear regression model. Nonlinear regression model. Analysis of variance. Factor analysis. The use of statistical systems for regression analysis.

Course Guarantor

Institute

Objective

To provide the students with knowledge needed for sophisticated applications of statistical methods.

Syllabus

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.

Prerequisites

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.

Language of instruction

Czech

Credits

10 credits

Semester

winter

Forms and criteria of assessment

examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 3 hours/week, elective

Syllabus

1. Multidimensional normal distribution, conditional probability distribution.

2. Regression function.

3.–5. Linear regression model.

6.–7. General linear regression model.

8. Singular linear regression model.

9.–10. Analysis of variance.

11.–12.Factor analysis.

13. Nonlinear regression model.