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Analysis of Economic Indicators of a Company Using Statistical Methods
Chmelka, Tomáš ; Tuček, Petr (referee) ; Doubravský, Karel (advisor)
This bachelor's thesis analyses the situation in a selected company by using economic indicators and statistical methods. The thesis is divided into three main parts, the theoretical part, the analytical part and the suggestions part. The theoretical part describes the essential theoretical backgrounds of time series and selected economic indicators. The analytical part is focused on application of these theoretical knowledge and on performing calculations in given time periods. In the suggestions part, some proposals are mentioned, which could help the company to improve current situation in its future. Further the program is introduced, which is the outcome of this thesis as well.
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Analysis of Economic Indicators of the Selected Company Using Statistical Methods
Bahureková, Beáta ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis presents a financial analysis of SIGMA GROUP s.r.o. The basis for the analysis is the accounting documents for the years 2012-2016. The assessment of the company's financial situation is analyzed using the analysis of economic indicators and statistical methods using the Microsoft Office Excel program written in the Visual Basic programming language. The first part of the thesis is theoretical and the statistical methods and procedures of financial analysis that are important for the next part of the thesis are described. The second part of the thesis is analytical and deals with the calculations of the individual indicators, which form the basis for the possible setting of goals and strategy of the company.
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Assessing Selected Indicators Using Statistical Methods
Maulová, Kristýna ; Součková, Markéta (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with an evaluation of the financial situation of the company 2G - spol. s r.o. - Přikrývky a polštáře using statistical methods. The first part contains theoretical starting points of the thesis, which define the necessary terms of financial analysis and statistical methods, such as the method of regression analysis and time series. In the second part of the thesis, this theory is applied in practice to the mentioned company, where selected financial indicators are analyzed and prediction of future development of these indicators is determined. On the basis of this analysis and evaluation, subsequently, they are submitted own proposals to improve the current state of the selected company.
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Assessment of Selected Company Indicators Using Statistical Methods
Rozkydal, Štěpán ; Michalíková, Eva (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the assessment of selected financial indicators of the company STAVOČ spol. s r.o. using statistical methods in the years 2013–2020. In the theoretical part, financial indicators, time series analysis, regression analysis and correlation analysis are defined. In the analytical part, the theoretical knowledge is applied to the analysis of selected financial indicators. Some financial indicators are then subjected to statistical analysis on which the prediction of values of indicators for the following two years is carried out or the dependency between the selected indicators is determined. In the last part of the thesis, measures leading to the improvement of the current economic situation of the company are suggested.
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Depletion calculation of VVER 1000 reactor fuel using KENO code
Janošek, Radek ; Katovský, Karel (referee) ; Novotný, Filip (advisor)
The introduction to operational nuclear reactors focusing on light-water pressurized reactor VVER 1000 is in the beginning of this Master´s thesis. This thesis covers basic technology of VVER 1000 reactor with focus on reactor core and nuclear fuel TVSA-T. A significant part of the thesis deal with basic concepts of nuclear safety and its methods. The main goal is to create a model of VVER 1000 reactor, which can be used in nuclear burn-up calculations using KENO code. Therefore a part of this thesis deals with explanation of statistical Monte Carlo method and the KENO code.
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Automatic Keyword Suggestion
Šimara, Svatopluk ; Škoda, Petr (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with the automatic keywords suggestion. The suggestion is based only on the statistic methods. For the analysis are used diploma thesis and similar documents. Statistic methods are detailed tested and evaluated by using these documents. For the final keywords suggestion ale chosen only the most successful methods. In the end, the suggested keywords are compared with the manual assigned keywords.
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Analysis of Economic Data Using Statistical Methods
Maňková, Veronika ; Janíčková, Nikola (referee) ; Michalíková, Eva (advisor)
The bachelor thesis is focused on the evaluation of the financial situation of Scania Czech Republic s.r.o. using financial indicators and statistical methods. The theoretical part of the thesis first present all the important information, which is then used in the practical part to calculate the economic indicators. The practical part is drawn from the available resources from the company on which the financial analysis is based. Statistical methods are then determined primarily for prediction based on the calculated financial analysis. The final result, evaluation of calculations and advice for the following years can be seen at the conclusion of the bachelor thesis.
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Analysis of Economic Indicators Using Statistical Methods
Nowaková, Markéta ; Jančová, Petra (referee) ; Novotná, Veronika (advisor)
The aim of bachelor thesis is analysis of the conomic indicators in internet agency Cognito.CZ s.r.o. in Brno. Result of financial analysis is a set of values for each year. For each year are applied statistical methods. Financial analysis revers the strengths and weaknesses of the business and statistical methods determine the prediction of individual economic indicators for the following year. Bachelor thesis contains proposals to improve the problems and situation.
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