Skip to main content
Skip header

Stochastic Methods of Modelling

Summary

This subject contains bases from process of data analysis such descriptive
statistics, distribution analysis, statistical hypothesis tests, analysis of
variance (ANOVA), linear regression and time series analysis. Practical
exercises use special statistical software SAS from American company SAS
Institute and Excel - common software Microsoft Office.

Literature

GARDNER, J., POWERS, B., McDOWELL, B.: Getting Started with Enterprise Guide.
Software Course Notes. SAS Institute Inc. USA, 2001.
GUNDERSON, A.: Interactive Statistics. [online]. USA, Prentice Hall, 2002. HTML
format.
TRUXILLO, C. Statistical Analysis Using Enterprise Guide. Software Course
Notes. SAS Institute Inc. USA, 2001.
Elementary Concepts in Statistics. [online]. Stat Soft Inc, 1984-2003. www:
http://www.statistica.cz/textbook/stathome.html>
072/aliaga/aliaga.htm>

Advised literature

MENDENHALL, W. Second Course in Statistics, Regression Analysis. USA:
University of Florida, 2003. ISBN 0-13-022323-9.
TRUXILLO, C.: Statistical Analysis Using Enterprise Guide. Software Course
Notes. SAS Institute Inc. USA, 2001.


Language of instruction čeština, čeština, čeština, čeština
Code 545-0037
Abbreviation SSMM
Course title Stochastic Methods of Modelling
Coordinating department Department of Economics and Control Systems
Course coordinator doc. Ing. Pavel Staša, Ph.D.