National Repository of Grey Literature 124 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
An Analysis of Economic Indicators of the Company Amaprint Kerndl, s.r.o. Using Time Series
Mašová, Milada ; Kerndl, Lubomír (referee) ; Doubravský, Karel (advisor)
The bachelor’s thesis is oriented at the application of statistical methods, time series and regression analysis at the selected economic parameters of existing company. The goal will be to analyze the company data by these tools, to compare them and to make conclusions. With knowledge of historical data and predicted values of selected parameters company management could obtain a better foundation for strategy definition and future company orientation.
Dependence Measures
Janda, Radek ; Fusek, Michal (referee) ; Michálek, Jaroslav (advisor)
This thesis focuses on characteristics of the dependence measures among random quantities, as well as its use in industry. The theoretical part focuses on examples of the characteristics used. Furthermore, the software Statistica is described here, for its possibilities of implementing such characteristics. On simple examples, the use of dependence measures is shown. In the practical part, the thesis focuses on statistical analysis of real industrial data, whilst implementing the theory mentioned above.
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.
An Examination of Financial Efficiency of the Company Using Time Series Analysis
Čapka, Jakub ; Bartocha, Jaroslav (referee) ; Doubravský, Karel (advisor)
The bachelor’s thesis deals with the use of statistical methods, time series and regression analysis, as the effective tools for evaluation of characteristics and efficiency of the company, especially economic indicators. The goal will be to analyze the data by these means, to compare them and to make the conclusions. From the knowledge of historical data and forecasting preconditions for the future the company will gain clearer image about strategy and its direction.
Analysis of Economic Indicators of the Company EKONOM STUDIO, s. r. o. Using Time Series
Dudek, Miroslav ; Hostinský, Jan (referee) ; Doubravský, Karel (advisor)
Using time series analysis and regression analysis describes the development of monitored (selected) indicators over time and expressed the long-term trend of development. The concluding part are given suggestions for various improvements and recommendations to achieve better results.
Analysis of Economic Indicators of the Company Šroubárna Kyjov Using Statisitcal Methods
Sedláček, Libor ; Esterková, Iveta (referee) ; Doubravský, Karel (advisor)
The bachelor‘s thesis deals with regression analysis and time series. Using these statistical methods is analyzed the financial situation of a particular company. These methods are then applied to specific data obtained from the accounting documents of the company and represent the historical development of company. On this basis there is to assess the financial situation of the company, just using statistical methods, regression analysis and time series.
An Analysis of Economic Indicators of the Company Using Statistical Methods
Maxera, Pavel ; Brychta, Karel (referee) ; Doubravský, Karel (advisor)
Bachelor thesis deals with analysis of selected economic indicators. On the basis of documents from accounting analyzes the historical evolution of economic indicators and then derive their future developments. In addition, selected company assessed from the perspective of marketing and compares it with its competitors in the market. It uses the statistical methods, time series and regression analysis.
Personal GPS Track Database
Šrubařová, Daniela ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
The main goal of this thesis is to design and implement an application serving as a database of routes recorded by GPS devices and for purposes of personal use in sport activities such as cycling and running. Proces of both design and implementation is described. The resulting application is capable of processing the files containing data in GPX format. These records can be visualised with support provided by Google maps service. All the useful information about routes is well-aranged and displayed to the user. The application computes statistics for a chosen period of time and provides graphs of elevation profile for selected route. Implemented system for the route management has been continuously tested by volunteers and thus became user-friendly with intuitive user interface.
An Examination of Financial Efficiency of the Company JMP, a.s. Using Time Series Analysis
Poláček, Lukáš ; Veverková, Jana (referee) ; Doubravský, Karel (advisor)
This bachelor’s thesis analyses the performance of the JMP company by time series. The thesis is divided into the two parts. In the first part, there is prepered a theoretical base for calculation and application of time series and regressive analysis in economics. In the second practical part, there is decribed the company which is mentioned above, as well as, there is analyzed chosen indicators and evaluation. In the end will be suggested the posible directions which could be followed by the company.
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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