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Direct public support for research and development in the Czech Republic - 2015
Český statistický úřad
Without the adequate amount of financial support from the government and the business sector cannot be expected that research and development (R&D) in the Czech Republic could bring internationally competitive knowledge, innovation and technology, which will contribute to raising productivity and employment in the Czech economy, thus contributing not only to economic growth, but indirectly also to the sustainable development of society and social cohesion.
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Indirect public support for research and development in the Czech Republic - 2014
Odbor statistik rozvoje společnosti ; Český statistický úřad
Without a corresponding amount of funds from both the state and the business sector, it is not possible to expect R & D (R & D) in the Czech Republic to deliver high-quality, internationally competitive knowledge, innovation and technology. The importance of R & D investment is now highlighted in all developed countries, as the results of these activities and their use play an important role in all areas of today's society. Effective allocation of financial resources in this area can not be done without knowledge of historical development and current situation. Therefore, high quality and reliable statistical data are needed to determine the priorities and direction of future policies in this area.
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Analysis of the Indicators of the DEZA, a. s. Company Using Time Series
Kratochvíl, Bohumír ; Doubravský,, Karel (referee) ; Kropáč, Jiří (advisor)
In his final paper, the author examines and evaluates the statistical indexes of chemical factory DEZA, a. s. that have certain environmental aspects. The analysis itself is based on theoretical findings related to the regressive analysis and time series. Furthermore, the author designed an application in Visual Basic programming language that automatically solves math problems introduced in the final paper. The author also introduces a suggestion on how to improve the company's image.
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A Time Series Analysis of Prague Stock Exchange Indices
Zvoníček, Martin ; Dostál, Petr (referee) ; Novotná, Veronika (advisor)
This bachelor's thesis deals with analyzing the development of stock indices of the Prague Stock Exchange by using statistical implements, time series and regression analysis. It specifies the consequences of changes to the index in time, compares the analyzed data then draws conclusions and gains prognosis focused on the future development of those indices out of historical data.
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