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Basic Methods of Statistical Data Analysis in Practice

Anotace

The course will emphasize methods of applied statistics and data analysis. Theoretical considerations will be included to the extent that knowledge of theory is necessary for a sound understanding of methods and contributes to the development of data analysis skills and the ability to interpret results of statistical analysis.
The objective of the course is to develop sufficient knowledge of statistical tools and procedures, understanding of the underlying theory on which the procedures are based, and facility in the application of statistical tools to enable the student to incorporate sound statistical methodology into other areas of his or her own work.

Povinná literatura

Briš R., Probability and Statistics for Engineers, 2011, electronics script, Project CZ.1.07/2.2.00/15.0132. Dostupné z http://homel.vsb.cz/~bri10/Teaching/Prob%20&%20Stat.pdf
Hastie T., Tibshirani R., Friedman J.: The Elements of Statistical Learning, Data Mining, Inference, and Prediction. Second Edition, Springer 2008.

Doporučená literatura

James L.Johnson; Probability and Statistics for Computer Science, Wiley 2003, ISBN 0-471-32672-0


Language of instruction čeština, angličtina, čeština, angličtina
Code 470-6403
Abbreviation SMIP
Course title Basic Methods of Statistical Data Analysis in Practice
Coordinating department Department of Applied Mathematics
Course coordinator prof. Ing. Radim Briš, CSc.