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Lecturer(s)
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Fišerová Eva, doc. RNDr. Ph.D.
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Course content
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1. Hypotheses testing, exponential family of densities 2. Hypotheses testing - asymptotical tests 3. Linear model 4. Analysis of variance 5. Nonparametric methods - one-sample and two-sample tests 6. Nonparametric methods - one-way ANOVA, Spearman correlation coefficient 7. Goodness-of-fit tests 8. Contingency tables - independence tests 9. Contingency tables - test of symetry, Stuart test, logarithmic-linear models 10. Bayesian methods 11. Multivariate statistical analysis 12. Applications of mathematical statistics
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Learning activities and teaching methods
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Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
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Learning outcomes
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Master tools of multivariate statistical methods.
Knowledge To know basic procedures of univariate and multivariate statistical methods.
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Prerequisites
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Master's degree in mathematics.
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Assessment methods and criteria
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Oral exam
Exam: to know and to understand the subject
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Recommended literature
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C. R. Rao. (1978). Lineární metody statistické indukce a jejich aplikace. Praha, Academia.
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J. Anděl. (1978). Matematická statistika. SNTL/ALPHA, Praha.
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J. Anděl. (2005). Základy matematické statistiky. Praha.
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