Advanced course of Mathematical Statistics and Probability I
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
D01MSP1_EN | ZK | 2P | English |
- Course guarantor:
- Daniela Jarušková
- Lecturer:
- Daniela Jarušková
- Tutor:
- Supervisor:
- Department of Mathematics
- Synopsis:
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Distributions connected to normal distribution (chi square, t distribution). Multiple normal distribution and estimates of its parameters. Theory of estimation – a method of moments, a maximum likelihood method. Bayesian estimates. Method of principle components. Multiple linear regression. Non-linear regression. Bayesian approach to linear ans nonlinear regression.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
- Note:
- Time-table for winter semester 2024/2025:
- Time-table is not available yet
- Time-table for summer semester 2024/2025:
- Time-table is not available yet
- The course is a part of the following study plans: