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FAST-DAB037Acad. year: 2024/2025
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.
Language of instruction
Number of ECTS credits
Mode of study
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Department
Entry knowledge
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.
Rules for evaluation and completion of the course
Aims
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Prerequisites and corequisites
Basic literature
Recommended literature
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Lecture
Teacher / Lecturer
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.