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Application of Phillips curves in the years 2011 - 2013 for selected countries of the European Union and the comparison with the Czech Republic
Šefara, Ivan ; Adámek, Petr (advisor) ; Sirůček, Pavel (referee)
The foundation for my senior thesis is based on the theoretical model of Phillips curve and its analysis which is aimed at defining the relationship between inflation and unemployment rates. The curve was constructed in order to determine the short- and long-term transformation periods in various economies. The Philips curve was modeled using linear regression and the interrelationship between previously mentioned inflation and unemployment rates is evaluated via correlation analysis. For this research, it was essential to gather and organize empirical and statistical data of Czech Republic and other chosen countries of the European Union. Further, I will examine the compiled statistical data for the Philips curve model and try to confirm the validity of the data.
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Neural Networks in R
Arzumanov, Eduard ; Bašta, Milan (advisor) ; Žižka, David (referee)
The aim of this work was to present the issue of neural network, which is still, despite the fact it exist and has been applied for several years, remains quite unknown for a considerably big part of public and academical environment. The aim of the practical part was to verify via practical application if neural network are truly a better instrument of statistical analysis, than the commonly used ones, especially when the goal is to analyze and describe complex processes and relationships between them. Further aim of the work was to investigate and describe the relationships between the development of trading volumes of Apple shares and the shares of competitive companies regarding the market of smart phones such as Google, HTC, Nokia, Samsung using neural network models. The attainment of these goals was realized through a rather extensive description of neural networks theory as well as the presentation of valuable theoretical tools for avoiding the frequent barriers occurring during the practical implementation. This practical application was realized via software called R, which has widely spread lately due to its availability and a vast range of flexibility, which is provided to users. The value of this work is familiarization and the creation of an integrated knowledge within readers about the issue of neural networks and the deliverance of a proof, that neural networks are indeed a better tool compared to the commonly used ones (ARMA models, linear regression). The author of the work gained a lot of useful knowledge about neural networks, learned how to use them in practice especially in the environment of R software, by which he shifted his proficiency with the current software to a whole new level.
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Teplotní režim v zapojeném smrkovém porostu
Skarková, Helena
The bachelor thesis deals with analysis of the temperature regime in three types of ecosystems in the years 2011--2013. They are the spruce stand and the grassland at the experimental ecological study site of Bílý Kříž and the beech stand at the ecosystem station of Štítná nad Vláří. The comparison of the temperature regime in the stands with the temperature measured in the nearby climatological station is performed. Daily temperature cycles and the vertical temperature profiles in these stands are analysed for chosen clear and cloudy days. At least one mathematical model based on the principle of linear regression is created for every mentioned ecosystem. With the help of these models it is possible to calculate the temperature in the spruce and beech forests and in the grassland according to data measured in the nearby climatological stations.
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Productivity and its measuring aiming at individual size categories of companies.
ŘÍHA, Jaroslav
The main aim of this thesis was to assess the relation between productivity and size of company in selected sector of national economy construction industry. The sub-objectives were determined as follows: to gather theoretical information on the topic, to analyse the productivity according to the individual size categories of companies in the selected sector, to assess the relation between the size of company and the productivity and to ascertain the level of productivity in the Czech Republic in comparison with the selected sector.
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Using data mining to manage an enterprise.
Prášil, Zdeněk ; Pour, Jan (advisor) ; Novotný, Ota (referee)
The thesis is focused on data mining and its use in management of an enterprise. The thesis is structured into theoretical and practical part. Aim of the theoretical part was to find out: 1/ the most used methods of the data mining, 2/ typical application areas, 3/ typical problems solved in the application areas. Aim of the practical part was: 1/ to demonstrate use of the data mining in small Czech e-shop for understanding of the structure of the sale data, 2/ to demonstrate, how the data mining analysis can help to increase marketing results. In my analyses of the literature data I found decision trees, linear and logistic regression, neural network, segmentation methods and association rules are the most used methods of the data mining analysis. CRM and marketing, financial institutions, insurance and telecommunication companies, retail trade and production are the application areas using the data mining the most. The specific tasks of the data mining focus on relationships between marketing sales and customers to make better business. In the analysis of the e-shop data I revealed the types of goods which are buying together. Based on this fact I proposed that the strategy supporting this type of shopping is crucial for the business success. As a conclusion I proved the data mining is methods appropriate also for the small e-shop and have capacity to improve its marketing strategy.
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Applied quantitative methods of Austrian Business Cycle Theory
Kaláb, Jiří ; Svoboda, Miroslav (advisor) ; Janíčko, Martin (referee)
This paper analyzes the Austrian theory of business cycles. This theory describes the reasons that cause cyclical fluctuations in economic activity. Its foundations are built on the Austrian theory of capital. The main goal of this paper is to identify these reasons and construct a model based on them. This model attempts to capture the effect of explanatory variables on the structure of production according to Hayek's triangle. This is based on a sample of monthly U.S. data from the period 01/01/1977 to 04/01/2011. Data were tested using a linear regression model. Output from the model confirmed some of the variables as consistent with the Austrian theory of business cycles. However, there are many problems associated with applying this econometric model to the theory, whose leaders consistently opposed the introduction of mathematical methods in economic science.
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Forecast of the Future Development of the Current Business Crisis Using Tools of the Austrian School of Economics
Sehnalová, Tereza ; Svoboda, Miroslav (advisor) ; Mirvald, Michal (referee)
This paper is based on the theoretical framework given by the Austrian Business Cycle Theory. This theory explains clearly the causes, process and consequences of trade cycles that are inevitable parts of modern economies. Based on this framework, there was built a model trying to illustrate the impact of indicators standing behind the origin of business cycles on production structure of the USA examined on monthly data from years 1984 to 2009. The results of this model are conformable with predictions given by the Austrian Business Cycle Theory. Despite this, it is not possible to predict the future development of the US economy till the end of 2010 using this model, due to many problems that minimize relevance of such forecast. Nevertheless, it is possible to make prediction using the theory explained by the Austrian school of economics.
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Market analysis of dailies in Czech republic
Děd, Michal ; Lejnarová, Šárka (advisor) ; Kříčková, Darina (referee)
This work deals with the newspaper market in the Czech Republic and application the most known regression methods - ordinary least squares on marketing data from this area. The aim of this work is to determine whether the number of sold newspapers can be explained by the expenditures for advertising for them and the price of newspapers. In this work I use the data for the years 2003 to 2009, which we have provided me the publisher Ringier ČR.
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The structure of household expenditure with regard to their income situation
Babáková, Andrea ; Bína, Vladislav (advisor) ; Bartošová, Jitka (referee)
Presented thesis is focused on searching for differences and investigating dependences between costs and revenues of households, mainly the housing expenditure are emphasized. The data were extracted from survey made by Czech Statistics Office, especially from sample survey about revenues and living conditions of households called "Životní podmínky 2005". The data are analyzed by means of linear regression and analysis of variance. The above mentioned statistical methods are used to investigate the level of dependence between incomes and housing costs with regard to various factors e.g. size and type of municipality or the type of house in which the particular household is living. The obtained results display slightly growing dependence between incomes and revenues. Furthermore a small survey of the particular households was made on which the selected linear regression model (obtained by the analysis of ČSÚ data) was applied. The comparison of both surveys showed rather insignificant differences.
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