National Repository of Grey Literature 8 records found  Search took 0.01 seconds. 
Analysis of Economic Indicators Using Statistical Methods
Wahed, Sam ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The Bachelor’s Thesis analyses through statistical and demographic methods the structure of the population of Czech Republic in a past representation and future projection, in relation to its workforce. The methods of processing the time series and the demographic relations are presented in the theoretical part and these methods are further elaborated in the practical part. The results of the Bachelor’s Thesis that have been discovered by the analysis are assessed in the Conclusion that also contains a proposition of a solution as a contribution to the situation ascertained. The Attachment of the Bachelor’s thesis is a statistical calculator programmed in VBA to facilitate the calculations.
The Use of Statistical Methods for Data Processing
Matuškovič, Marián ; Štěpánková, Vladěna (referee) ; Novotná, Veronika (advisor)
This master thesis focuses on application of statistical methods in the processing of data. The first part of the thesis describes the theoretical foundations that are the basis for the practical part. Next part of this thesis describes the statistical and financial analysis and also design of an application that automate usage of statistical methods of regression analysis to predict the future economic situation development of the company. This thesis contains theory of time series methods and regression analysis.
Design of Software Support for Evaluation of Financial Situation in the PoS a.s.
Šikula, Pavel ; Dobiáš, Jaroslav (referee) ; Luhan, Jan (advisor)
The bachelor thesis deals with design of an application in MS Excel 2007 using macros and Visual Basic for Applications programming language for the Poličské strojírny a.s. financial analysis. Emphasis is placed on the import of data from main financial statements (balance sheet, profit and loss statement) and subsequent calculation of relevant financial indicators, their interpretation and graphic representation of their development in time. The proposed application will be used for strategic planning and its outcomes will be a part of the medium-term company conception.
The Use of Statistical Methods for Data Processing
Vaněk, Tomáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The subject of this master’s thesis is to analyze and evaluate the economic indicators of selected company and comparison of these indicators with the nearest competitors. The thesis is divided into three main sections. First part is theoretical and contains information about used economical and statistical terms. Second part contains of analysis of economic indicators, comparison of actual and predicted values and comparison with the nearest competitors. In order to predict future values of indicators, on selected indicators appropriate regression function has been applied. The last part of thesis contains of program created by using VBA in MS Excel, which is designed to calculate the economic indicators, and the part containing proposals for improving the situation of company.
Analysis of Economic Indicators Using Statistical Methods
Wahed, Sam ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The Bachelor’s Thesis analyses through statistical and demographic methods the structure of the population of Czech Republic in a past representation and future projection, in relation to its workforce. The methods of processing the time series and the demographic relations are presented in the theoretical part and these methods are further elaborated in the practical part. The results of the Bachelor’s Thesis that have been discovered by the analysis are assessed in the Conclusion that also contains a proposition of a solution as a contribution to the situation ascertained. The Attachment of the Bachelor’s thesis is a statistical calculator programmed in VBA to facilitate the calculations.
Design of Software Support for Evaluation of Financial Situation in the PoS a.s.
Šikula, Pavel ; Dobiáš, Jaroslav (referee) ; Luhan, Jan (advisor)
The bachelor thesis deals with design of an application in MS Excel 2007 using macros and Visual Basic for Applications programming language for the Poličské strojírny a.s. financial analysis. Emphasis is placed on the import of data from main financial statements (balance sheet, profit and loss statement) and subsequent calculation of relevant financial indicators, their interpretation and graphic representation of their development in time. The proposed application will be used for strategic planning and its outcomes will be a part of the medium-term company conception.
The Use of Statistical Methods for Data Processing
Vaněk, Tomáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The subject of this master’s thesis is to analyze and evaluate the economic indicators of selected company and comparison of these indicators with the nearest competitors. The thesis is divided into three main sections. First part is theoretical and contains information about used economical and statistical terms. Second part contains of analysis of economic indicators, comparison of actual and predicted values and comparison with the nearest competitors. In order to predict future values of indicators, on selected indicators appropriate regression function has been applied. The last part of thesis contains of program created by using VBA in MS Excel, which is designed to calculate the economic indicators, and the part containing proposals for improving the situation of company.
The Use of Statistical Methods for Data Processing
Matuškovič, Marián ; Štěpánková, Vladěna (referee) ; Novotná, Veronika (advisor)
This master thesis focuses on application of statistical methods in the processing of data. The first part of the thesis describes the theoretical foundations that are the basis for the practical part. Next part of this thesis describes the statistical and financial analysis and also design of an application that automate usage of statistical methods of regression analysis to predict the future economic situation development of the company. This thesis contains theory of time series methods and regression analysis.

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