Terminated in academic year 2022/2023
Stochastic Methods of Modelling
| Type of study | Follow-up MasterMaster |
|---|---|
| Language of instruction | English |
| Code | 310-3241/02 |
| Abbreviation | S |
| Course title | Stochastic Methods of Modelling |
| Credits | 3 |
| Coordinating department | Department of Mathematics and Descriptive Geometry |
| Course coordinator | Mgr. Marcela Rabasová, Ph.D. |
Subject syllabus
1. Combinatorics
2. Introduction to probability
3. Conditional probability and independent events. Bayes' theorem. Theorem of total probability.
4. Random variable and its characteristics
5.-7. The basic distributions of discrete and continuous random variable
8. Random vector
9. Statistical file with one factor
10. Statistical file with two factors
11. Regression and correlation
12. Point and interval estimates of parameters
13. Hypothesis testing
14. Reserve
2. Introduction to probability
3. Conditional probability and independent events. Bayes' theorem. Theorem of total probability.
4. Random variable and its characteristics
5.-7. The basic distributions of discrete and continuous random variable
8. Random vector
9. Statistical file with one factor
10. Statistical file with two factors
11. Regression and correlation
12. Point and interval estimates of parameters
13. Hypothesis testing
14. Reserve
E-learning
Literature
Dummer R. M.: INTRODUCTION TO STATISTICAL SCIENCE. VŠB-TU Ostrava 1998; ISBN 80-7078-497-0
Advised literature
Dummer R. M.: INTRODUCTION TO STATISTICAL SCIENCE. VŠB-TU Ostrava 1998; ISBN 80-7078-497-0