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Time Series Analysis

Summary

The course is focused on the analysis and forecasting of the dynamics of economic time series. Its main goal is to explain the most frequently used models and procedures for analysis of economic time series and their using in practice. These procedures are essential for decision making, planning, forecasting in the economy. Students attend seminars in computer labs. The SPSS and MS Excel software will be utilized. The course requires basic knowledge of probability theory and statistics.

Literature

BOX, George, JENKINS, Gwilym and REINSE, Gregory. Time Series Analysis: Forecasting and Control. Springer; 4th edition, 2008. ISBN 978-0470272848 .

BROCKWELL,Petr and DAVIS, Richard. Time Series: Theory and Methods. Springer; 2nd edition, 2009. ISBN 978-1441903198 .

CHATFIELD,Chris. The Analysis of Time Series: An Introduction. Chapman & Hall; 6th edition, 2003. ISBN 978-1584883173 .

KIRCHGÄSSNER, Gebhard, Jürgen WOLTERS a Uwe HASSLER. Introduction to modern time series analysis. 2nd ed. Berlin: Springer, 2013. Springer texts in business and economics. ISBN 978-3-642-33435-1 .

Advised literature

BISGGARD, Soren. – KULAHCI, Murat. Time Series Analysis and Forecasting by Example. Wiley; 1st edition, 2011. ISBN 978-0-470-54064-0 .

SHOWMAN, Robert H. – STOFFER, David S. Time Series Analysis and Its Applications: With R Examples. Springer; 3rd edition, 2011. ISBN 978-1441978646 .

WOODWARD, Wayne A., Henry L. GRAY a Alan C. ELLIOTT. Applied time series analysis. Boca Raton: CRC Press, Taylor& Francis group, 2012. Statistics: textbooks and monographs. ISBN 978-1-4398-1837-4 .


Language of instruction čeština, čeština, čeština
Code 151-0350
Abbreviation AČŘ
Course title Time Series Analysis
Coordinating department Department of Mathematical Methods in Economics
Course coordinator doc. Ing. Petr Seďa, Ph.D.