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Analysis of Economic Data Using Statistical Methods
Klímová, Lenka ; Antoš, Marek (referee) ; Michalíková, Eva (advisor)
The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation. The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis and regressive analysis. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.
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Statistical Evaluation of Entrance Exams
Tihlaříková, Jana ; Mezník, Ivan (referee) ; Kropáč, Jiří (advisor)
This master’s thesis deals with statistical evaluation of the entrance exams at the Faculty of Business and Management of Brno University of Technology, especially the evaluation of the quality of applicants of bachelor study branch “Tax Advisory“. The thesis also includes the forecast of number of applicants, who will apply for the Faculty of Business and Management of Brno University of Technology in the future.
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Statistical Methods for Description of Running a Restaurant
Novotná, Lenka ; Doubravský, Karel (referee) ; Kropáč, Jiří (advisor)
The diploma thesis is written with a view to illustrate application of statistical methods describing progress of economical processes in company. The thesis is divided into two separated parts. First part focuses on theoretical pieces of knowledge about control charts and time series. Second part is composed from chapters that are focused on its practical usage. As simple application for control chart making is enclosed.
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The Way to Better Future Means to Understand the Past The Math Modelling
Míková, Libuše ; Papírník, Jaromír (referee) ; Chvátalová, Zuzana (advisor)
The main aim of my diploma thesis is to prepare easy math model, which can help to understand the development of economic indicators in time. This math model will show the dependence and important moment in their development and can help to improve the efficiency of company. All math models will be working up in system Maple which is very good helper in working up of big group of data. The partial aim is to show characteristics of company, to valorize the efficiency of company and compare this efficiency with main competitors. The results will be recommendations which should help positive influence the future efficiency of company, help with choose of strategy and the make a better position on the market.
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Analysis of business data using methods of pattern recognition
Prišť, Lukáš ; Burget, Radim (referee) ; Atassi, Hicham (advisor)
This project explores basic methods of time series analysis and decomposition of these series using the additive model. It describes creation of classes for generating and decomposition of time series in Python. This project also guides the reader through creation of Matlab user interface which is used to generate time series and mark chosen parameters. I also go through implementation of functions for time series decomposition previously created in Python. I chose seven parameters of which I kept track. I also chose general features for representing chosen parameters as well as features which were chosen carefully for each parameter. Every time series generated by this user interface are then used to train a program, which classifies them for semantic description. After training the created model was used to predict chosen parameters of previously unknown time series.
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Modelování nezaměstnanosti v zemích V4
Novotný, Ondřej
This bachelor's thesis deals with the problems of unemployment in the countries of the Visegrad Group. The main aim of this work is to investigate the development of unemployment and employment policy expenditures with potential impacts that these expenditures on unemployment may have. The theoretical part deals with the various types of unemployment, its potential impacts and are also introduced measures, whose aim is to limit the rise of unemployment. The practical part describes the development of two basic macroeconomic indicators of each of the countries of the Visegrad Group, it is effect a forecast of the future development of unemployment for the three monitored groups and then it is monitored the development of the expenditures of individual countries on employment policy.
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Socioekonomicky slabší mikroregiony JMK: analýza vybraných demografických a ekonomických ukazatelů
Blahová, Ivana
The following bachelor thesis focuses on analysis of the selected demographic and economic indicators in socio-economically disadvantaged microregions such as Vranovsko, Hornacko and Mala Hana in the years 2001-2011. In this timeframe the indicators of population trends, age index, level of entrepreneurial activity, unemployment rate are being analyzed and compared to those in the South Moravian Region. Their socio-economic situation is evaluated on the basis of the obtained data. The evaluated microregions are further subjugated to analysis of the basic demographic processes displayed by dint of the demographic characteristics (birth rate, mortality, natural reproduction, migration). By using of the time series compensation method and suitable mathematic function their development trend is predicted until the year 2020.
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