National Repository of Grey Literature 651 records found  beginprevious553 - 562nextend  jump to record: Search took 0.00 seconds. 
The Use of Statistical Methods for Data Processing
Kočárek, Tomáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Main goal of this diploma thesis is to design a strategy to increase the competitiveness of the spa resort Lázně Hodonín. Secondary goal is to predict the future attendance of said spa resort. A theoretical part apprizes the readers with basic terms of tourism, spa procedures, time series and spa resorts from South Moravian area. In the practical part, we will use time series to process an attendance of spa resort and predict its future developement according to a chosen model. In the end we will use SWOT and PESTE analysis to summarize results, which will be used to suggest a recommendation leading to an increase of competitiveness of chosen spa resort.
Assessing of Selected Indicators of a Company by Using Statistical Methods
Pukajová, Zuzana ; Švehla,, Andrej (referee) ; Doubravský, Karel (advisor)
The diploma thesis focuses on assessment of given financial indicators of chosen company. It is predicted the future development of chosen financial indicators using appropriate statistical methods. It contains assessment of financial situation of analysed company and solutions of its present situation.
Assessing the Financial Situation of a Company Using Time Series Analysis
Zeman, Tomáš ; Mynarčík, Zdeněk (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with assessing financial situation of the company MERLINPLUS spol. s r.o. The thesis includes indexes of financial analysis which are expressed by using time series. If the time series has a specific development trend, the data are aligned with the help of regression analysis and a prediction is set for the following two periods.
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.
The Use of Statistical Methods for Data Processing
Lališ, Roman ; Štěpánková, Vladěna (referee) ; Novotná, Veronika (advisor)
Diploma thesis is focused on the analysis of the financial health of microenterprise using statistical methods, specifically time series. The selected size of the enterprise is related to important asset, since this type of analysis is not usually automated. In theoretical part, thesis will discuss each monitored indicator that forms the basis for statistical analysis, which is also described in the theoretical level. The practical part will focus on specific statements obtained, their financial and statistical analysis, and then creating a program in the language of Excel VBA to automate these activities.
Assessment of the Residential Construction Market in the Czech Republic Using Time Series
Konopáč, Jiří ; Komárková, Martina (referee) ; Doubravský, Karel (advisor)
This master’s thesis deals with the analysis of the residential construction market in the Czech republic using the time series. The data of the Czech Statistical Office were used for the purposes of this thesis. The work includes the description of the theoretical basis and their consequential application in practical analysis of the chosen indicators.
Performance Evaluation of the Company Using Statistical Methods
Mičulka, Jan ; Karas, Michal (referee) ; Doubravský, Karel (advisor)
This master’s thesis contains performance evaluation of Profidebt company using financial analysis indicators from years 2006-2012, further SWOT analysis is performed together with statistical analysis of economic ratios with next term’s prognosis. In the first part, theoretical basis is explained and it is applied on the company in the second part of thesis. In the end, quantified results from the analysis are evaluated and proposals are devised.
Assessing the Financial Efficiency of a Company Using Statistical Methods
Šebestová, Monika ; Gintherová, Stanislava (referee) ; Doubravský, Karel (advisor)
The master’s thesis deals with the assessment of the financial performance of a company using statistical methods. The theoretical part describes the problems of time series, regression analysis, correlation analysis and financial analysis. In the practical part statistical methods are used to reveal the dependence between the indicators and the prediction of the future development of the company in the coming years. On the basis of established results the company is compared with two important rivals, and there are made some suggestions how to improve its economic situation.
The Use of Statistical Methods for Data Processing
Zbranková, Kateřina ; Zeman, Karel (referee) ; Novotná, Veronika (advisor)
This diploma thesis deals with the evaluation of the economic situation of ZLKL, s. r. o. using statistical methods. Primarily the thesis proceeds from financial records of the company which are put through the financial analysis. On the basis of its results the statistical analysis of chosen indicators is then accomplished. Using statistical methods it tries to analyse the development of each indicator, its trend, and to predict its future development. In the last part of the thesis, there is the evaluation of each indicator, and the formulation of suggestions and recommendations by whose implementation the company should achieve the bigger financial stability and the long-term stable management.
The Use of Statistical Methods for Data Processing
Krygielová, Lucie ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis deals with the optimization of the supply process of a small business, especially with determining the optimal inventory level and demand forecasting, using tools of time series analysis. The final part gives a description of the creation of the program that is used to calculate individual indicators and forecasts. The aim is to increase the efficiency of the supply process, thereby reducing operating costs of the company.

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