National Repository of Grey Literature 75 records found  beginprevious62 - 71next  jump to record: Search took 0.00 seconds. 
Technical Analysis
Hlavenka, Dušan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This Bachelor´s thesis focuses on the issue of the use of statistical concepts in economics with a focus on financial market in the Czech Republic. Specifically, the work deals with emissions that are included in the Prime Market Index PX and monitored and recorded Stock Exchange in Prague. The essence is the analysis of individual stocks and calculating statistical parameters that should be relevant to potential investors in the financial market favoring technical analysis.
Model of E-commerce in Services
Šustrová, Tereza ; Šustr, Vilém (referee) ; Dvořák, Jiří (advisor)
The bachelor thesis deals with the current situation in the company offering services such as copying, laminating or book binding. The study primarily proposes the model of e-commerce relating to structure, functions and visual aspects.
Service Optimalization Proposal in Copy Centre.
Šustrová, Tereza ; Šimonová, Jana (referee) ; Pokorný, Jiří (advisor)
The bachelor thesis deals with the current situation in the company offering services such as copying, laminating or book binding. The study analyses the status of the company from the aspect of personal labour effectiveness and affect of the company environment on the customer. The results of the questionnaire survey will be used for determination of further enhancements of the company's services.
Analysis of Economic Indicators Using Statistical Methods
Kupka, Jan ; Kropáčková, Šárka (referee) ; Šustrová, Tereza (advisor)
The aim of this bachelor thesis is an analysis of economic data in the company Valeo Compressor Europe s. r. o. for the years 2010 to 2014. The result will be a set of economic indicators, which will reveal the strengths and weaknesses of the company. Usage of statistical indicators will allow to predict the development of individual quantities for the following period. Finally, the thesis includes suggestions of improvement for the problems the company faces.
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 Utilization of Soft Computing in Ordering Cycle Management
Šustrová, Tereza ; Fecenko, Josef (referee) ; Jurová, Marie (referee) ; Marček, Dušan (referee) ; Dostál, Petr (advisor)
This doctoral thesis deals with possibilities of using advanced methods of decision-making - Soft Computing, in company’s ordering cycle management. The main aim of the thesis is to propose an artificial neural network model with an optimal architecture for ordering cycle management within the supply chain management. The proposed model will be employed in an organization involved in retailing to ensure smooth material flow. A design and verification of artificial neural networks model for sales prediction is also part of this doctoral thesis as well as a comparison of results and usability with standard and commonly used statistical methods. Furthermore, the thesis deals with finding a suitable artificial neural network model with architecture capable of solving the lot-size problem according to specified inputs. Methods of statistical data processing, economical modelling and advanced decision-making (Soft Computing) were utilized during the model designing process.
The Use of Statistical Methods for Data Processing
Hřiba, Štěpán ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The statistical method application of data processing is the study object of this thesis. The thesis is composed of two parts – theoretical and practical. The theoretical part deals with regression analysis, time series and financial analysis issue. The practical part draws the attention to the characteristic of a chosen company and analysis of selected economic indicators. These economic indicators are processed by the aid of regression analysis and time series.
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.
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.
Technical Analysis
Souček, Vilém ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This diploma thesis focuses on the general characteristic of the technical analysis and its use in deciding to invest in the stock market. Thesis includes theoretical data, which deal with problems concerning an investment in the capital market. In the practical part are some indicators of technical analysis applied to the selected shares, by means of them is formed investing strategy for the beginning investor. Furthermore, in practical part is described the design of application for technical analysis.

National Repository of Grey Literature : 75 records found   beginprevious62 - 71next  jump to record:
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