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The Introduction and Application of General Regression Model
Hrabec, Pavel ; Štarha, Pavel (referee) ; Bednář, Josef (advisor)
This thesis sumarizes in detail general linear regression model, including testing statistics for coefficients, submodels, predictions and mostly tests of outliers and large leverage points. It describes how to include categorial variables into regression model. This model was applied to describe saturation of photographs of bread, where input variables were, type of flour, type of addition and concntration of flour. After identification of outliers it was possible to create mathematical model with high coefficient of determination, which will be usefull for experts in food industry for preliminar identification of possible composition of bread.
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The Introduction and Application of General Regression Model
Hrabec, Pavel ; Štarha, Pavel (referee) ; Bednář, Josef (advisor)
This thesis sumarizes in detail general linear regression model, including testing statistics for coefficients, submodels, predictions and mostly tests of outliers and large leverage points. It describes how to include categorial variables into regression model. This model was applied to describe saturation of photographs of bread, where input variables were, type of flour, type of addition and concntration of flour. After identification of outliers it was possible to create mathematical model with high coefficient of determination, which will be usefull for experts in food industry for preliminar identification of possible composition of bread.
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CHAID - decision tree construction technique
Freyvald, Michal ; Vild, Jiří (advisor) ; Čabla, Adam (referee)
CHAID analysis (Chi-squared Automated Interaction Detection) is a construction technique of decision trees, which is especially suitable for categorical data and is based on Paerson's chi-square statistical test of independence of categorical fields. Important characteristics of decision trees are summarized and structure of CHAID analysis, particular phases of analysis construction, advantages, disadvantages and recommended settings for a high- quality analysis are described in this paper. On exemplary sample from customers segment we're observing usage of CHAID in practise and with the help of IBM SPSS PASW Statistics v18.0 software we're proving usefulness of CHAID analysis in target marketing.
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Correspondence analysis
Konrádová, Lucie ; Hebák, Petr (advisor) ; Plašil, Miroslav (referee)
The aim of this thesis is to introduce statistical method called Correspondence analysis as a strong instrument for exploratory data analysis. The main purpose is to understand how to interpret the correspondence map, the graphical output of this method, correctly. The method is presented both in its simple version, and its extension to multivariate data. Usage of method is demonstrated on data of non-financial subjects of Czech republic, which are entered in the register of economic subjects.
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