Práce popisuje vývoj federálního dluhu ve Spojených státech amerických - stručně do roku 1981, poté podrobněji. Týká se prezidentů Reagana, Clintona, Bushe sr. a Bushe jr. V každém roce období 1981 - 2005 je analyzován federální rozpočet - zda vznikl přebytek či deficit, včetně analýzy vývoje federálních příjmů a federálních výdajů. V práci je také obsažen odhadovaný vývoj pro léta 2007 - 2012.

Práce se zabývá popisem technické analýzy jako jedné z částí celkové analýzy instrumentu. V práci jsou detailně popsány nejpoužívanější technické indikátory a grafické formace. Autor se v práci zamýšlí nad vznikem technické analýzy a odhaduje její možnosti použití do budoucna. V na akciích Burzy cenných papírů Praha a.s. potom zkoumá úspěšnost predikcí technické analýzy.

Oil is currently one of the most used energy sources on earth because enters into almost all goods and services. A number of economy and households is dependent on oil. In recent years a trend in the oil market raises many questions. The scope of this diploma thesis is to identify and to analyze key factors influencing the oil market. The next aim is to predict future development of this market. The analysis is focused on the most important economic, geopolitical, environmental and technological factors affecting the oil market. Methodology of the thesis is based on the literature research and on the basic statistical methods to analyze the factors and estimate the future of the oil market.

The subject of my thesis is to analyze the predictions of tax revenues in ten municipalities of comparable size. The main aim of my thesis is to evaluate the accuracy of predictions for selected municipal tax revenues and see if you can not refine their expert estimation using appropriate statistical methods. A sub-goal is to characterize in detail the various components of the budget revenues, and analyze their size and structure in selected municipalities. Another important sub-goal is to compare the communities to highlight their differences and common elements of municipal budget process. These information are based on interviews at municipalities. The result of the analysis is that the optimal use of prediction methods differ not only income from income, but from city to city. For income tax paid by employees appeared in some cases, reliable prediction of the city, in other cities it was exponential smoothing. For the tax on personal income from independent activities is clearly the most accurate regression analysis, which refines the prognosis of this tax by up to several tens of percent. Although the error of prediction of the city in property taxes was none too small, this approach has remained the most accurate. Only three cities have been more accurate by using exponential smoothing.

The main objective of this master thesis is random equipartition concentration of measured gravimetric points in the area of interest pursuant by digital terrain model. Remove-Compute-Restore method was used for this purpose. In this thesis normal acceleration of gravity, topographic effect and Faye anomaly were subtracted from measured gravity. The result is Bouguer anomaly with general topographic effect which is interpolated for concentration points. We obtained predicated values of gravity after the restoration of subtracted effects. The main result of the thesis is the map of real gravity and precision evaluation of used method. Furthermore, the reductions of gravity, interpolation methods in programme ArcGIS, Remove-Compute-Restore method and the term of digital terrain model are explained in the thesis.

Lightning activity is considered a severe meteorological hazard that needs to be studied, monitored as well as predicted. This thesis focuses on the prediction of lightning activity by the Lightning Potential Index (LPI) in the COSMO numerical weather prediction (NWP) model that comprises 1- and 2-moment (1M and 2M, respectively) cloud microphysical schemes. The objective of this thesis is to investigate the correlation between the predicted lightning activity and the detected one (by the European network for lightning detection EUCLID). Events of the years 2018 and 2019 that recorded significant lightning activity over Czechia are considered for the analyses. For the first time over Czech region, the prognostic values of LPI calculated for each event are verified. In particular, the spatio- temporal distribution of the predicted vs. detected lightning activity is evaluated. Both spatial characterizations and diurnal course of detected lightning activity correspond well to the theoretical knowledge. Thus, spatial (horizontal) and temporal approaches are applied to verify the lightning activity prediction. The results of this thesis successfully verify the LPI prognostic values both in space by comparing the LPI values with the proximity of detected lightning flashes, and in time by contrasting the...

This thesis analyzes the development of the structure of the population and demographic processes of microregion Cezava in 2005-2015. In that time period indicators of status and population movement were analyzed. Using a suitable trend function future development of selected indicators until 2018 was predicted. A key finding is that the population in the microregion is aging; this negative process is slowed down by migration, especially migration of young families. The main reason for creating this work is its potential use in the microregion development strategy. Demographic analysis of this type in the current strategy is missing.

This thesis deals with the prediction demand forecasting in a company, focusing especially on quantitative methods of prediction. The theoretical part presents the predictions of demand, its place and importance in a company. Secondly, it presents various methods of qualitative and quantitative demand forecasting and the methods for measuring prediction accuracy. The practical part applies several methods on a real data of the company. These are the methods of moving averages, exponential smoothing, Holt and Holt-Winters method and the simple linear regression. The accuracy of each method are compared with each other and most accurate method is then used to predict demand for the year 2015.

This thesis brings a new approach to the prediction of the effect of nucleotide polymorphism on human genome. The main goal is to create a new meta-classifier, which combines predictions of several already implemented software classifiers. The novelty of developed tool lies in using machine learning methods to find consensus over those tools, that would enhance accuracy and versatility of prediction. Final experiments show, that compared to the best integrated tool, the meta-classifier increases the area under ROC curve by 3,4 in average and normalized accuracy is improved by up to 7\,\%. The new classifying service is available at http://ll06.sci.muni.cz:6232/snpeffect/.

This master’s thesis deals with protein secondary structure prediction. There is a theoretical introduction followed by study of available tools, proposal and implementation of web application, which combines functionality of several web tools used to predict secondary structure. User is asked to choose prediction methods and insert input sequence as plain text or upload a file. Results collected from selected tools serve to convert data into common format, show the result and create new type of prediction. Finally, the testing is applied and influences of tools are adjusted in order to increase percentage of prediction. The output of application is a result of prediction also available as plain text or as a file.