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Special Methods of Data Analysis

Type of study MasterFollow-up MasterBachelor
Language of instruction English
Code 470-8542/02
Abbreviation SMAD
Course title Special Methods of Data Analysis
Credits 5
Coordinating department Department of Applied Mathematics
Course coordinator prof. Ing. Radim Briš, CSc.

Subject syllabus

Introduction to probability theory
Random Variable
Random Vector
Probability models for discrete random variable
Probability models for continous random variable
Statistical survey and exploratory analysis
Sample characteristics, Introduction to estimation theory
Hypothesis testing – principle
One-sample and two-samples parametric tests of hypothesis
Goodness of Fit tests
Tests for comparing more than two variances, ANOVA (one factor, two factors), Kruskal-Wallis test
Analysis of Independence
Introduction to Regression Analysis

E-learning

Basic materials are available on the educator's website:
http://homel.vsb.cz/~bri10,
Teaching,
Prob & Stat.pdf

Literature

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
Dummer R.M.; Introduction to Statistical Science, script of VŠB-TUO FEI, 1998, ISBN 80-7078-497-0

Advised literature

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