Course details
Statistic methods of data processing
QM7 Acad. year 2003/2004 Winter semester
Importance of statistical methods. Describing statistics. Analysis of time series. Indexes analysis. Random events and probability. Random variable and its characteristics. Random vector. The important distributions. Mathematical statistics. The testing of hypotheses. Regression analysis.
Guarantor
Language of instruction
Completion
Time span
- 39 hrs lectures
Department
Subject specific learning outcomes and competences
The graduate of course would be able to use possibilities of statistical analysis for solving of concreete research problems of technical practice.
Learning objectives
To show the possibilites of statistical methods for solving of research problems in technical research on concrete examples.
Study literature
- Anděl J.Matematická statistika. SNTL/Alfa, Praha1978.
- Hátle J. Likeš J. Základy počtu pravděpodobnosti a matematické statistiky.SNTL/Alfa, Praha 1974.
- Likeš J. Machek J. Matematická statistika ,SNTL, Praha, 1983.
- Likeš J. Machek J. Počet pravděpodobnosti,SNTL, Praha, 1981.
- Zapletal J. Základy počtu pravděpodobnosti a matematické statistiky. PC-DIR, VUT, Brno 1995.
Fundamental literature
- Anděl J. Statistické metody. Matfyzpress, KU Praha 1993
- Cochran W.G. Sampling techniques. Wiley, New York 1953.
- Hájek J., Šidák Z. Theory of rank tests., Academia, Praha, 1967.
- Kendall M.G., Stuart A. The advanced theory of statistics.Griffin, London 1969.
- Likeš J. Machek J. Matematická statistika ,SNTL, Praha, 1983.
- Šor J.B. Statistické metody analýzy a kontroly jakosti a spolehlivosti. SNTL,Praha, 1965.
- Zvára K.Regresní analýza. Academia, Praha 1989.
Progress assessment
The form of consultations.