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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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Assessing Selected Indicators Using Time Series Analysis
Travencová, Darina ; Mach, Zdeněk (referee) ; Doubravský, Karel (advisor)
The master´s thesis evaluates the economic situation of the company SCHWARTZ TECHNICKÉ PLASTY ČR s. r. o. using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression and correlation analysis. In the practical part is an analysis of selected indicators of financial analysis, then statistical methods are used to predict future developments for the coming two years and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation, which are based on calculations from the practical part.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Krayzlová, Lucie ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This diploma thesis disserts mainly on the software application development created through language Visual Basic for Application, which serves to creation of macros and automation of work in Microsoft Excel. The Application is made specially for company PENTACO, spol. s.r.o. The software allows to calculate complete financial analysis of company for last 8 years. Statistical methods are used for prediction of future indicators. The financial analysis will reveal the weaknesses and strengths of the company and on their basis will be suggested solutions for fixing of problems and company situation.
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Mathematical and Statistical Methods as Support of the Development of Software Applications
Vraniaková, Lýdia ; Novotná, Veronika (referee) ; Michalíková, Eva (advisor)
This bachelor thesis is focuses on the evaluation of the financial situation of the company SLOVPUMP-TRADE, s.r.o. using mathematical and statistical methods of financial analysis. Part of the work is to create an application in the Visual Basic for Applications, which can be used to evaluate the financial situation of the company. The thesis contains a theoretical part, which deals with the description of economic indicators and regression analysis, analytical part, which is focused on the financial analysis of the current state of the company SLOVPUMP-TRADE, s.r.o. The third part desribes created application and recommendations for the company based on the results of financial analysis.
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Assessing of the Financial Situation of a Company Using Time Series Analysis
Kalousková, Petra ; Musilová, Martina (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with an assessment of the topical financial situation of BARVY A LAKY TELURIA, s. r. o. using the time series analysis. The theoretical part focuses on the description of the financial indicators, analysis of the time series, and subsequently the regressive and correlative analysis. In the practical part, selected financial indicators are statistically analyzed. The future two-year development of indicators is predicted on the basis of the selected models; subsequently dependencies among the particular indicators are determined. In the conclusion, proposals to ameliorate the current financial situation of the company are recommended, which was carried out on the basis of the identified shortcomings.
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