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FCH-MC_CHMAcad. year: 2009/2010
Foundations of descriptive statistics. Point and interval estimations of random variables and their properties. Testing of statistical hypotheses, one sample tests, godness of fit tests. Random vectors, simultaneous and marginal distributions, the conditional density and probablistic functions. Numerical characteristics - the concepts of mean value, variance, covariance. Two sample tests. Multivariate normal distribution. The least square method, linear regression model and its generalizations and modifications. Intriduction to the non-linear regression, elements of regression diagnostics. Introduction to the variance analysis - the methods of Tuckey, Bartlett´s test, one and two factor ANOVA tests,The method of Schéffe and its application for determining of confidence zone in the linear regression model. Non-parametric tests - the sign test, Wilcoxon's test and Kruskal- Wallis test. Eigen-values and eigen-vectors, the principal component analysis and its application for data reduction. Foundations of factor analysis and its applications in the living environment research. Introduction to the discriminant analysis and its biomedicine applications. Introduction to the theory of neural nets, an alternative model to the classical statistics methods.
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branch NPCO_SCH , 1 year of study, summer semester, compulsory-optionalbranch NPCO_SCH , 2 year of study, summer semester, compulsory-optional
branch NKCO_SCH , 1 year of study, summer semester, compulsory-optionalbranch NKCO_SCH , 2 year of study, summer semester, compulsory-optional
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