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Lecturer(s)
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Půlpán Zdeněk, prof. PhDr. RNDr. CSc.
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Kulička Jiří, Mgr. Ph.D.
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Course content
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1) Principles of estimation theory 2) Principles of hypothesis testing 3) Methods of regression and correlation analysis 4) Multivariate statistical techniques 5) Analysis of variance
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Řízená praxe
- Term paper
- 36 hours per semester
- Term paper
- 36 hours per semester
- Term paper
- 36 hours per semester
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Learning outcomes
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Theory of mathematical statistics
The graduate can assess basic numerical methods and design their application
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Prerequisites
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Knowledge of studying mathematics at the undergraduate level is assumed.
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Assessment methods and criteria
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Written examination
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Recommended literature
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Rektorys, K. a kol. Přehled užité matematiky. Praha: Prometheus, 2000.
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