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Risk Analysis for Important Factors of Firm Using Statistical Methods
Ochabová, Miroslava ; Žák, Libor (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis deals with the analysis of financial indicators using time series, regression analysis and interval regression analysis of a selected company. The diploma thesis describes selected financial indicators, time series, regression analysis and interval regression analysis. Furthermore, the calculations of financial indicators for the selected company and the characteristics of the time series are performed. Individual financial indicators are subjected to regression analysis and interval regression analysis. Based on the performed analyzes, the company's risk factors are determined and recommendations for the improvement of the current situation in the company are proposed.
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Statistical Analysis of a Company Financial Risk Factors
Raclavský, Lukáš ; Sadovský, Zdeněk (referee) ; Karpíšek, Zdeněk (advisor)
The master´s thesis contains a statistical analysis of a company financial risk. Within this analysis were determined the dominant economic and financial risk factors of a company and was made a description of selected inferential statistical methods adequate assessment of the state and time development of these indicators. On a PC was applied methodics developed for concrete data files with focusing on description of the expected risk development existence of a company. In conclusion were achievements evaluated and were determined another possible directions of solving similar problems.
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Statistical Analysis of Risk Indicators of a Company
Procházka, Martin ; Procházková, Kateřina (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis aims at analyzing accounting and financial indicators using time series, regression analysis and interval regression analysis of selected company VIDEN plus, a.s. The thesis analyzes the development trends of individual indicators, which are able to reveal the state of the company. Based on the data obtained, the issue of company risks arising from the analyzes and their correction is then addressed.
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Risk Management in Selected Subject by Means of Statistical Methods
Oralová, Ivana ; Žák, Libor (referee) ; Karpíšek, Zdeněk (advisor)
The diploma thesis is focusing on the review of financial indicators of a selected company through the use of statistical methods. Time series analysis, interval regression analysis, and regression analysis were used to analyse financial indicators, and based on that a prediction of the development in the next two years was created. The analysis also addresses potential risks for the company and possible ways to lower them. Based on the information obtained from the analysis a complete evaluation is created and recommendations are made to improve the company’s situation.
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Modelling of energy producing system and its operation planning applying advanced mathematical methods
Benáčková, Jana ; Karpíšek, Zdeněk (referee) ; Pavlas, Martin (advisor)
This master's thesis deals with the proposal of the cost-effective biomass and coal combustion concept for a real generation plant. The optimization of the current fuel basis exploitation and annual operation scheduling was the main goal. Applying the regression analysis and stochastic programming the mathematical model was constructed based on the operating data. The overall energy source model was implemented to the concept of the optimal operation scheduling considering the economic aspects. The fuel utilization and energy production planning are the main applications of this design.
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Risk Modelling in Engineering Applications
Konečný, Antonín ; Karpíšek, Zdeněk (referee) ; Popela, Pavel (advisor)
The diploma thesis focuses on risk modelling in engineering applications. The knowledge obtained from statistical methods of operational research, specifically regression analysis, is used. Electrical quantities measured on the stator winding of an electrical machine (generator) are analyzed. Regression analysis and statistical hypothesis testing is performed in Statgraphics software. The success results of the regression analysis for risk reduction are documented in detail and the regression curves are visualized in graphs. Conclusions and recommendations for each generator, as well as general ones, are formulated.
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Optimization of Energy by Robot Motion
Smetanová, Anna ; Skařupa, Jiří (referee) ; Smrček, Juraj (referee) ; Karpíšek, Zdeněk (referee) ; Kolíbal, Zdeněk (advisor)
The doctoral thesis is describing the problematic of motion parameters influences on energy consumption during robot operation. The basic methods of robot programming are characterized and evaluated in the introductory part and with help of mathematical models the influence of specific parameters is explained. The experimental verification of mathematical models was performed in the laboratory of Institute of Production Machines, Systems and Robotics at Brno University of Technology. The measure results are arranged in tables from which final evaluation and recommendation for praxis follows.
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Implementation and Application of Statistical Methods in Research, Manufacturing Technology and Quality Control
Kupka, Karel ; Karpíšek, Zdeněk (advisor)
This thesis deals with modern statistical approaches and their application aimed at robust methods and neural network modelling. Selected methods are analyzed and applied on frequent practical problems in czech industry and technology. Topics and methods are to be benificial in real applications compared to currently used classical methods. Applicability and effectivity of the algorithms is verified and demonstrated on real studies and problems in czech industrial and research bodies. The great and unexploited potential of modern theoretical and computational capacity and the potential of new approaces to statistical modelling and methods. A significant result of this thesis is also an environment for software application development for data analysis with own programming language DARWin (Data Analysis Robot for Windows) for implemenation of effective numerical algorithms for extaction information from data. The thesis should be an incentive for boarder use of robust and computationally intensive methods as neural networks for modelling processes, quality control and generally better understanding of nature.
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