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Analysis of real and nominal convergence of the Visegrad Group in the years 2000-2015
Wikturna, Jan ; Strejček, Ivo (advisor) ; Zamrazilová, Eva (referee)
This Bachelor thesis is focused on a macroeconomic analysis of the process of the real and nominal convergence of the Visegrad Group countries to the old member states of the European Union, called EU-15 during the period of 2000-2015. The objective of the analysis is to confirm or disprove the hypothesis that in the selected period there is a convergence of the economically backward V4 countries with the advanced EU-15 countries and to highlight the factors that are behind the narrowing of the gap in economics and price levels. The theoretical part deals with the ways in which we measure and compare the economic performance and economic level, and explains the different approaches of the problem of economic growth and the subsequent catching up effect. The practical part is focused on a comparison of elected macroeconomic indicators and reference is made to the selected factors to determine whether, and for what reasons, the economic convergence of these selected countries made towards the developed countries of the EU-15. The analytical part confirms the ongoing process of the real and nominal convergence throughout the period, but its course is varied during different times of the period. In conclusion, it is found that the rate varied by the convergence processes and in fact positively affected the V4 countries, that joined the European Union. The incoming dynamics of the convergence, especially the prices, were significantly disrupted by the economic crisis.
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Balance-related exercise as a preparation to cross-country skiing practice in visually impaired children
Chmelíčková, Hana ; Daďová, Klára (advisor) ; Levitová, Andrea (referee)
Title: Balance-related excercise as a preparation to cross-country skiing practice in visually impaired children. Objectives of the Thesis: The goal of this thesis is to test the possibilitiy of implementation of selected balance- related excercise in visually impaired children. Method: The testing pool consisted of six pupils attending the Special school for Visually Impaired Children between 14 and 15 years of age. Over the period of ten weeks, selected exercise geared towards the cross-country skiing was practiced with these students. The research method applied to measure students' indicators of balance before and after the excercise was an assessment of standing stability at the Footscan pressure table, as well as a walking test in terrain with blinded eyes. Results and Conclusions: This research has indicated the possibility of physical intervention in form of balance- related practice as part of the preparation before the cross-country skiing season begins. It has proven that selected balance-related excercise can be applied with no limitations during the physical education classes for visually impaired pupils. After the physical intervention, the majority of tested individuals showed improvements in their indicators of dynamic balance, as proved by the walking test in terrain with blinded...
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Dynamism and Codification
Šipková, Milena
The author attempts a typology of the language variants. She stresses that as far as codification is concerned, apart from the langue changes of the social and territorial character especially the processes of structural character are important; within them it is necessary to distinguish especially the progressive phenomena.
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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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