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Regression Analysis of Spatially and Time Distributed Data
Rosecký, Martin ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
This thesis summarizes findings about municipal solid waste (MSW) forecasting. Basic information about linear regression and correlation analysis were described. Analysis of influencing factors was realized on municipality with extended competence level. The resulting models explain up to 99 % of variability. Final models of MSW per capita explain between 12 and 75 % of variability. Variability explained by model of MSW per capita is lower by 20 % than comparable study which however uses data that are not usually available. Models can be used in waste management and their simplicity is benefit for real usage.
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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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Econometric Model of Flat Prices in Brno
Ondroušek, Jakub ; Poláček, Tomáš (referee) ; Luňáček, Jiří (advisor)
The goal of the thesis „Econometric model of flat prices in Brno“ is to create econometric model based on data from housing market. The theoretical part of the thesis defines variables, and use descriptive statistics. The practical part of the thesis deals with creation econometric model and interactive calculator.
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Statistical Classification by means of generalized linear models
Sladká, Vladimíra ; Mrázková, Eva (referee) ; Michálek, Jaroslav (advisor)
The goal of this thesis is introduce the theory of generalized linear models, namely probit and logit model. This models are especially used for medical data processing. In our concrete case these mentioned models are applied to data file obtained in teaching hospital Brno. The aim is statically analyzed immune response of child patients in dependence of twelve selected types of genes and find out which combinations of these genes influence septic state of patients.
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Econometric Model of Flat Prices in Brno
Ondroušek, Jakub ; Poláček, Tomáš (referee) ; Luňáček, Jiří (advisor)
The goal of the thesis „Econometric model of flat prices in Brno“ is to create econometric model based on data from housing market. The theoretical part of the thesis defines variables, and use descriptive statistics. The practical part of the thesis deals with creation econometric model and interactive calculator.
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The transmission mechanism of the monetary policy impact on the Czech banking sector
Bohovicová, Petra ; Brůna, Karel (advisor) ; Jakl, Jakub (referee)
This thesis analyzes the impact of the monetary policy of the Czech Republic on the Czech banking sector. It explains the monetary transmission mechanism in an inflation targeting regime and its channels: interest rates channel, asset price channel, exchange rate channel and credit channel. The aim of the thesis is to introduce and analyze channels of the Czech transmission mechanism by Correlation and Graphical Analysis of chosen time series and using Linear Regression Model. The analyses are calculated in MS Excel and Gretl.
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Confidence bands for regression curves
Zavřelová, Adéla ; Hlávka, Zdeněk (advisor) ; Maciak, Matúš (referee)
This thesis deals with the constructions of the confidence band for a linear regression model. Basic characteristics of a linear model are given and constructions of different confidence bands are described for models, where the relationship is set by a one variable function. The main focus is on bands of polynomial models.
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Regression Analysis of Spatially and Time Distributed Data
Rosecký, Martin ; Hübnerová, Zuzana (referee) ; Bednář, Josef (advisor)
This thesis summarizes findings about municipal solid waste (MSW) forecasting. Basic information about linear regression and correlation analysis were described. Analysis of influencing factors was realized on municipality with extended competence level. The resulting models explain up to 99 % of variability. Final models of MSW per capita explain between 12 and 75 % of variability. Variability explained by model of MSW per capita is lower by 20 % than comparable study which however uses data that are not usually available. Models can be used in waste management and their simplicity is benefit for real usage.
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