National Repository of Grey Literature 222 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
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.
Examination of Financial Efficiency of the Agricultural Company Using Time Series Analysis
Fialová, Pavlína ; Tichá, Dana (referee) ; Doubravský, Karel (advisor)
This bachelor´s thesis deals with the financial performance of private agriculture Václava Žďárského. Value of the selected indicators of company for the last 8 years, deduces conclusions and estimates future development of these indicators. It contains suggestions that will contribute to mitigating the effects of any further losses from crop production and overall lead to stability of the company.
Mathematical and Statistical Methods as Support of the Development of Software Applications
Bohuslav, Radek ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
The diploma thesis is focused on the creation of a program enabling calculation of selected economic indicators of Arbela s.r.o. The thesis is divided into a theoretical and practical part. The content of the theoretical part is a description of individual methods and procedures of financial analysis, description of principles of time series, and regression analysis. In the practical part, the program created to calculate the selected economic indicators of the company Arbela s.r.o. is presented. These indicators are subsequently evaluated and foreseeable development of the company is determined for the future. At the end of the thesis, solutions for possible improvement of the economic situation of the company can be found.
Analysis of Selected Demographic and Economics Indicators of the City Hodonín
Volf, Petr ; Maňák, Marián (referee) ; Kropáč, Jiří (advisor)
This Bachelor thesis focuses on analyzing the demographic and economic trend of the City of Hodonin in terms of selected indicators. The main aim of this thesis is to examine the development trend of the chosen indicators and determine the prognosis of their trend in the future. Regression analysis methods and time series from mathematical statistics are used in this thesis to achieve the desired goals.
Analysis of Economic Indicators Using Statistical Methods
Ivachshenko, Olga ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The bachelor thesis focuses on the financial analysis of ABB s. r. o company by using statistical methods. The thesis consists of two main parts. The main purpose of the first part is the describing of individually economic indicators of the company and regressive analysis with the time series. The second part includes the financial analysis and the prediction of further development for the company. As the conclusion of these two parts, there is suggested recommendations for improving the financial situation in the future.
Analysis of the První obalová spol. s.r.o. Company Using Statistical Methods
Dejmek, Martin ; Soška, Libor (referee) ; Doubravský, Karel (advisor)
This bachelor´s thesis is dealing with economic analysis of a company called První obalová spol. s r.o. and consequently is examining through statistical methods these economic indicators and consequently is forecasting its future development from which is gathering valuable information which are serving to recommended proposals to improvement of economic situation of this company.
Analysis of Selected Company Using Time Series
Hasoň, Tomáš ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor thesis is aimed at assessing the financial performance of the business Mr. Rostislav Hasoň using time series. The theoretical part provides an overview of basic financial and statistical tools needed for the job. The practical part will analyze the financial statements of the company and using time series and regression analysis will be described the development of indicators and outlined the future development in the near future. The last part consists of proposals to improve the financial performance of the company.
Software Application for Assessment of Selected Indicators
Zdražilová, Eva ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with development of software application, witch aims to count selected economic. The theoretical part describes signifikance indicators individually used in application. The practical part deals with the description of the application, its filling with datas from company ANECT a. s. and subsequently an assessment of the output.
Assessing Selected Indicators Using Statistical Methods
Konečný, Adam ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
Bachelor thesis deals with the financial analysis of economic indicators with the use of statistical methods in the company A studio group, spol. s r.o. The theoretical part focuses on the definitions of economic and statistical concepts, their meaning and use. The practical part is concerned with the analysis of the current state of the company in financial terms, by using statistical methods. The calculation I use to process proposals for improvement of the situation and for the future prosperity of the enterprise.
Assessing Selected Indicators Using Statistical Methods
Kučera, Jan ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
This bachelor thesis deals with an evaluation of the financial situation of PREFA Brno a.s. using statistical methods. The data are processed using selected indicators of financial analysis, time series and regression analysis. Based on the results are created the prognosis of the next two years of development and proposals to improve the situation.

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