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Last update: ZICHOVA/NATUR.CUNI.CZ (20.05.2008)
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Last update: ZICHOVA/NATUR.CUNI.CZ (20.05.2008)
To demonstrate selected methods of statistical data analysis and their application to experimantal material. |
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Last update: RNDr. Jitka Zichová, Dr. (07.04.2016)
Zichová, J.: Plánování experimentů a predikční vícerozměrná analýza. Karolinum, Praha, 2007. |
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Last update: RNDr. Jitka Zichová, Dr. (11.11.2011)
Active presence at the seminars and solving a project consisiting in a real data analysis. |
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Last update: ZICHOVA/NATUR.CUNI.CZ (20.05.2008)
1. Basic probability and statistics - random events and variables, normal distribution, random sample, parameter estimating, testing of statistical hypotheses. 2. Linear and logistic regression - description of a continuous or a binary variable using a set of regressors. 3. Testing hypotheses concerning the mean - t-tests and their non-parametric alternatives. 4. Analysis of variance - one-way and two-way ANOVA, hierarchical model, latin squares. 5. Factorial experimental design - two-level factorial design, fractional factorial design. 6. Principal component analysis - interpretation of the principal components in data sets. 7. Cluster analysis - hierarchical and non-hierarchical clustering algorithms. 8. Discriminant analysis - classification of objects to a given set of groups. 9. Time series analysis - modelling and forecasting.
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