Mathematical Statistics
Code | Completion | Credits | Range |
---|---|---|---|
11MS | Z,ZK | 4 | 2+2 |
- Garant předmětu:
- Lecturer:
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- Supervisor:
- Department of Applied Mathematics
- Synopsis:
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Point estimation, properties of point estimators (consistency, unbiasedness, efficiency), methods of point estimation (method of moments, maximum likelihood metod).
Bayes estimators. Testing of statistical hypothesis, critical values, choice of hypothesis and level of significance, observed level of significance (P-value). Goodness of fit test, independence test. Regression and correlation, linear regression, correlation coefficient, coefficient of determination, the general linear model, statistical inference in linear regression, analysis of variance, multiple regression, the use of matrices in regression.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: