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Lecturer(s)
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Křemenáková Dana, doc. Dr. Ing.
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Zusková Jana, Ing. Ph.D.
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Militký Jiří, prof. Ing. CSc.
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Course content
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1.Multivariate data. 2.Exploratory analysis of multivariate data. 3.Principal components anylysis. 4.Basic statistical characteristics of multivariate data 5.Construction of multivariate data distribution characteristics. 6.Confirmatory analysis of multivariate data 7.Cluster analysis. 8.Basic concepts of regression. 9.Linear regression model. 10.Basic of LSM.
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Learning activities and teaching methods
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Monological explanation (lecture, presentation,briefing), Dialogue metods(conversation,discussion,brainstorming)
- Class attendance
- 56 hours per semester
- Home preparation for classes
- 28 hours per semester
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Learning outcomes
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The main aim is description of selected methods for statistical analysis of multivariate data by using of exploratiry and graphically oriented tools. The selected techniques of multivariate regression models building will be presented. The system MATLAB will be used as prototype for creation of basic algorithms and computation.
Enhancing knowledge in exploratory analysis of multivariate data, focus on evaluation of multivariate data analysis of significance or nonsignificance phenomena for population and sample data, important statistical models for linearity and nonlinearity.
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Prerequisites
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Knowledge of basic statistical methods for univariate data, probability theory for univariate data, least squares method, the basic mathematical tools for investigation of functions and data fitting functions, integrals, derivatives, combinations, matrices, knowledge of programming in Matlab or other statistical software
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Assessment methods and criteria
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Written exam
Credit: elaboration of semestral works, successfully passed tests Exam: written
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Recommended literature
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Meloun M., Militký J., Hill M. Počítačová analýza vícerozměrných dat v příkladech. Academia Praha, 2005.
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Meloun M., Militký J., Forina, M. Chemometrics for Analytical. Chemistry, P Aided Regression vol.2. Ellis Horwood, London, 1994.
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Meloun M., Militký J., Forina, M. Chemometrics for Analytical. Chemistry. Statistical Data Analysis Vol.1. Ellis Horwood, London, 1992.
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Meloun M., Militký J. Statistická analýza experimentálních dat. Praha : Academia, 2004. ISBN 80-200-1254-0.
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Meloun, M., Militký, J. Statistické zpracování experimentálních dat. Ars Magna, Praha 1998.
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Ryan T.P. Statistical Methods for Quality Improvement, J.Wiley New York 1989.
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