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Lecturer(s)
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Picek Jan, prof. RNDr. CSc.
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Skalská Hana, prof. RNDr. CSc.
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Linda Bohdan, doc. RNDr. CSc.
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Kubanová Jana, doc. PaedDr. CSc.
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Course content
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Probability and statistics: Probability distrubution models and their application in inference, analysis of cathegorical data, parametric and non-parametric hypothesis testing, factorial experiments. Multivariate methods: regression models and inference in linear regression, discriminant function analysis or other types of predictive models (logistic regression, decision trees, etc.), cluster analysis. Decision support systems: modelling, causality, sample survey problems and generalization, data and their usage in decision making, software for data analysis, data visualization.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing)
- Class attendance
- 560 hours per semester
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Learning outcomes
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Advanced methods of inductive statistics. Students should develop skills and knowledge specific for statistical considerations supporting a comprehensive approach to solutions of real problems.
Students obtain knowledge in given course in accordance with requirements and course programme.
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Prerequisites
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Knowledge in given course in accordance with requirements and course programme.
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Assessment methods and criteria
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Combined examination, Oral exam
Elaboration of a project as instructed by a teacher. The defense of the project is part of the exam.
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Recommended literature
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ANDERSON, T. W. An Introduction to Multivariate Statistical Analysis. 2003. ISBN 978-0-471-36091-9.
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Dalgaard, P. Introductory Statistics with R. 2008. ISBN 978-0-387-79053-4.
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Hebák, P. a kol. Vícerozměrné statistické metody. Informatorium, Praha, 2007.
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HEBÁK, P. et al. Vícerozměrné statistické metody (3). Informatorium.. Praha, 2005. ISBN 80-7333-039-3.
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Hebák, P., Hustopecký, J., Malá, I. Vícerozměrné statistické metody (2). Informatorium, Praha, 2005. ISBN 80-7333-036-9.
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Isson, J. a Harriot, J. Win with Advanced Business Analytics: Creating Business Value from Data.
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JUREČKOVÁ, J., P. K. SEN a J. PICEK. Methodological Tools in Robust and Nonparametric Statistics. 2013. ISBN 978-1-4398-4068-9.
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KING, R.S. Cluster Analysis and Data Mining: An Introduction. 2015. ISBN 978-1938549-38-0.
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Kubanová, J. Statistické metody pro ekonomickou a technickou praxi.
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Linda, B. Pravděpodobnost.
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REIMANN C., P. FILZMOSER, R. GARRETT a R. DUTTER. Statistical Data Analysis Explained. 2008. ISBN 978-0-470-98581-6.
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ŘEZANKOVÁ, H. Analýza dat z dotazníkových šetření. 2. vyd. Praha: Professional Publishing, 2010.
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S. COLES. An Introduction to Statistical Modeling of Extreme Values. 2001. ISBN 978-1-85233-459-8.
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Skalská, H., Stránský, P. Základy biostatistiky. Karolinum, Praha, 2007.
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Wonnacott, T.H., Wonnacott, R.J. Introductory Statistics for Business and Economics. New York : John Wiley & Sons, 1990. ISBN 0-471-61517-X.
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Zhao, Z. R and Data Mining: Examples and Case Studies. 2013. ISBN 978-0-12-396963-7.
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