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Modern statistical approach in evaluating the compressive strength of concrete in structures using the rebound hammer method
Janka, Marek ; Kocáb, Dalibor (referee) ; Misák, Petr (advisor)
This diploma thesis examines various linear regression methods and their use to establish regression relationships between the compressive strength of concrete determined by the indirect method and by the crushing of the specimens in the press. It deals mainly with the uncertainty of values measured by the indirect method, which is neglected by the usually used ordinary least squares regression method. It also deals with the weighted least squares method, suitable for so-called heteroskedastic data. It compares different regression methods on several sets of previously measured data. The final part of the work examines the effect of removing too influential points identified by Cook's distance, which may skew the regression results.
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Image Tracking in Video Sequences
Pavlík, Vít ; Musil, Petr (referee) ; Zemčík, Pavel (advisor)
Master's thesis addresses the long-term image tracking in video sequences. The project was intended to demonstrate the techniques that are needed for handling the long-term tracking. It primarily describes the techniques which application leads to construction of adaptive tracking system which is able to deal with the change of appearance of the object and unstable character of the surrounding environement appropriately.
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Modern statistical approach in evaluating the compressive strength of concrete in structures using the rebound hammer method
Janka, Marek ; Kocáb, Dalibor (referee) ; Misák, Petr (advisor)
This diploma thesis examines various linear regression methods and their use to establish regression relationships between the compressive strength of concrete determined by the indirect method and by the crushing of the specimens in the press. It deals mainly with the uncertainty of values measured by the indirect method, which is neglected by the usually used ordinary least squares regression method. It also deals with the weighted least squares method, suitable for so-called heteroskedastic data. It compares different regression methods on several sets of previously measured data. The final part of the work examines the effect of removing too influential points identified by Cook's distance, which may skew the regression results.
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Population Characteristics of Voters: Evidence from the Czech Parliamentary Election
Černý, Jakub ; Janský, Petr (advisor) ; Želinský, Tomáš (referee)
In 2017, nine political parties were elected into the Czech Parliament, which is the greatest number in the history of the country. This thesis analyses the voter turnout and results of particular parties, using aggregated data on the municipal level. The goal is to find a spectrum of variables that would un- cover connections between the population characteristics of voters and their decisions to vote and to choose a political party. The method of weighted least squares is used for estimation and the results are tested for the presence of spa- tial autocorrelation. Subsequently, a spatial error model is used for the same analysis in order to observe spatial effects in the voting results and provide a comparison between the methods. There is found a significant negative con- nection between the voter turnout and the share of people facing distraints, unemployment, and the share of people with no education. Concerning the election results, the parties ANO, SPD, and KSCM receive greater support in municipalities with greater unemployment and lower shares of businessmen and people with university education. On the other hand, the parties ODS, Pirati, and TOP 09 evince exactly the opposite trends in these explanatory variables. JEL Classification H70, I21, I30, J10, J11 Keywords voting behaviour, voter...
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Empirical Analysis of Prague Flat Market
Sklenářová, Tereza ; Křehlík, Tomáš (advisor) ; Vozková, Karolína (referee)
The purpose of this work is to model the prices of real estate, concretely of Prague flats, which belong to the most important economic indicators. In the theoretical part, the main housing market participants are defined, special features of housing markets are described and most frequently used valuation methods are discussed. Most attention is focused on so called hedonic pricing model, which is applied as a base for the pricing equation in the econometric part. This is carried on various subsets of public available data regarding the characteristics of Prague flats, using ordinary least squares as well as weighted least squares. Several hypotheses about the relationship between the price and the explanatory variables are tested before creating the final model. The results are commented and compared with literature concerned with the same topic in other locations.
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Image Tracking in Video Sequences
Pavlík, Vít ; Musil, Petr (referee) ; Zemčík, Pavel (advisor)
Master's thesis addresses the long-term image tracking in video sequences. The project was intended to demonstrate the techniques that are needed for handling the long-term tracking. It primarily describes the techniques which application leads to construction of adaptive tracking system which is able to deal with the change of appearance of the object and unstable character of the surrounding environement appropriately.
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