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Applied statistics

Course aims

The students should get acquainted with the main concepts of advanced statistical methods. Knowledge of the principles of work with programming language R. On completion of this course students will acquire knowledge of methods of time series analysis, their decomposition, time series forecasting, model identification methodology and spectral analysis.

Literature

Doležalová, J.-Pavelka, L.: Pravděpodobnost a statistika. Skriptum VŠB, Ostrava 2005. ISBN 80-248-0948-6.
Otipka, P.-Šmajstrla, V.: Pravděpodobnost a statistika. Skriptum VŠB-TU, Ostrava 2006. ISBN 80-248-1194-4 . ( http://www.studopory.vsb.cz/studijnimaterialy/past/past.pdf )
http://mdg.vsb.cz/portal/en/Statistics1.pdf

Advised literature

Meloun, M. -- Militký, J. Kompendium statistického zpracování dat: metody a řešené úlohy, Praha, Academia, 2006, 80-200-1396-2
Andrew C. Harvey. Time Series Models. Harvester wheatsheaf, 1993.


Language of instruction čeština
Code 230-0229
Abbreviation ApSt
Course title Applied statistics
Coordinating department Department of Mathematics
Course coordinator Ing. Veronika Moškořová, Ph.D.