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Lecturer(s)
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Fišerová Eva, doc. RNDr. Ph.D.
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Fačevicová Kamila, Mgr. Ph.D.
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Vencálek Ondřej, doc. Mgr. Ph.D.
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Course content
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1 Uniform distribution on a permutation set. 2 The hypothesis of randomness of H_0, ranks, rank statistics. 3 Rank tests of H_0 against the alternative of two samples with the location shift. 4 Tests of H_0 against other alternatives. 5 The hypothesis of symmetry. The hypothesis of independence.
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Learning activities and teaching methods
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Lecture
- Homework for Teaching
- 30 hours per semester
- Attendace
- 39 hours per semester
- Preparation for the Exam
- 50 hours per semester
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Learning outcomes
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Understanding the construction and application of rank tests and non-parametric methods.
Comprehension Understanding the construction and application of rank tests and non-parametric methods.
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Prerequisites
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Motivation to learn
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Assessment methods and criteria
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Oral exam, Written exam
the student has to understand the subject
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Recommended literature
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J. Anděl. (2011). Základy matematické statistiky. Matfyzpress, Praha.
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J. Jurečková, K.S. Pranab, J. Picek. (2012). Methodology in Robust and Nonparametric Statistics. CRC Press.
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J. Kloke, J.W. McKean. (2015). Nonparametric Statistical Methods Using R. CRC Press.
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W.J. Conover. (1998). Practical Nonparametric Statistics, 3rd Edition. Wiley.
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