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Last update: T_KPMS (13.05.2014)
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Last update: doc. Mgr. Michal Kulich, Ph.D. (05.09.2013)
Students will understand the foundations of mathematical statistics and important principles of parameter estimation and hypotheses testing. They will become familiar with most common statistical procedures and their application to real data.
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Last update: doc. RNDr. Michal Pešta, Ph.D. (28.10.2019)
Anděl J.: Statistické metody. MATFYZPRES, Praha 1998 Anděl J.: Základy matematické statistiky. MATFYZPRES, Praha 2002 |
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Last update: G_M (24.04.2012)
Lecture+exercises. |
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Last update: doc. Mgr. Michal Kulich, Ph.D. (05.09.2013)
1. Random sample and its properties. 2. Point and interval estimators and their properties. 3. Parameter estimation methods. Empirical, moment estimators. Maximum likelihood. 4. Theory of hypotheses testing. 5. One-sample and paired methods for continuous data. 6. One-sample methods for discrete data. 7. Two-sample methods for continuous data. 8. Contingency tables. 9. Analysis of variance. 10. Linear regression. |