|
Lecturer(s)
|
-
Bajzík Vladimír, doc. Ing. Ph.D.
-
Dohnal Gejza, prof. RNDr. CSc.
|
|
Course content
|
Course programme : 1. Repeating of fundamentals of mathematical statistics. 2. Linear and nonlinear regressed model, hypothesis testing, confidence intervals. 3. Tests of outliers. 4. Randomization. 5. Fundamentals of design and analysis of industrial experiments. 6. General properties of optimal experimental planning. 7. Sekvential arrangement sof experiments. 8. Factorial experiments. 9. Latin blocks. 10. Experimens with one factor, analysis of variance 11. Criteria of optimality of experimental design in linear model. 12. Methods of calculation of optiamal designs in multidimensional case. 13. Statistical methods for experiments evaluation.
|
|
Learning activities and teaching methods
|
Monological explanation (lecture, presentation,briefing), Dialogue metods(conversation,discussion,brainstorming)
- Class attendance
- 56 hours per semester
|
|
Learning outcomes
|
Basic metods of planning of industrial experiments and their industrial application.
Student gets knowledges of this subject
|
|
Prerequisites
|
Knowledges from Bachelor study
|
|
Assessment methods and criteria
|
Oral exam, Written exam
Credit: work out homeworks Exam: writting and oral
|
|
Recommended literature
|
-
D.R. Cox. Planning of experiments. J. Wiley, New York, 1992..
-
Gejza Wimmer, Rudolf Palenčár a Viktor Witkovský. Spracovanie a vyhodnocovanie meraní. VEDA, Bratislava, 2002..
-
Jiří Anděl. Statistické metody. Matfyzpress, Praha, 2003..
-
Jiří Likeš. Navrhování průmyslových experimentů. SNTL, Praha, 1968..
-
Karel Zvára. Regresní analýza.Academia, Praha, 1989..
-
Lubomír Kubáček a Andrej Pázmán. Štatistické metódy v meraní. VEDA, Bratislava, 1979..
-
Lubomír Kubáček a Ludmila Kubáčková. Statistika a metrologie. Univ. Palackého, Olomouc, 2000..
|