National Repository of Grey Literature 54 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
Analysis of Economic Data using Statistical Methods
Proroková, Kateřina ; Doubravský, Karel (referee) ; Michalíková, Eva (advisor)
This bachelor thesis is focused on evaluation of the financial situation of the company První brněnská strojírna Velká Bíteš. The thesis is divided into three parts – a theoretical, an analytical and a propose part. The theoretical part is focused on explanation of financial indicators and statistical methods. In the analytical part, calculations of economic indicators will be performed in the field of financial analysis and statistical analysis of time series. The final part will be followed by a comprehensive summary of the state of the company and its own proposals for improvement of its financial situation.
Assessing Selected Indicators of a Company Using Statistical Methods
Matlas, Michal ; Vojkovský, Radim (referee) ; Doubravský, Karel (advisor)
This bachelor thesis is focused on assessing selected indicators of a company Slévárna Kuřim, a.s. by using statistical methods. The thesis is divided into three main parts. The issue of time series, regression analysis and selected indicators is illustrated in the theoretical part. The practical part deals with processing individual indicators by using time series and regression analysis connected to their future development. The last part includes suggestions to fulfil the situation in organization.
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.
Modification of Regression Function
Popoola, Seyi James ; Hübnerová, Zuzana (referee) ; Žák, Libor (advisor)
The regression analysis is a modelling technique that establishes, mathematically, the relationship between entities of a particular subject. Although the modelling is done in such a way that one variable is seen as a subject of the other(s), regression does not imply causation. The modeling has assumptions such as linearity, normality, little or no multicollinearity, homoscedasticity as conditions for optimal relationship establishment. The simplest of the regression technique is the linear regression which also is the most commonly used. It involves the use of a straight line model to define the best pattern of relationship. This best pattern is assessed by the measure of goodness of fit which describes the amount of variation in the response variable explained by the stimuli (or stimulus). Change-point regression is a type of linear regression that takes into account a change in course of the movement of the relationship under study. This type of change in course is taken into account by modelling the regression in segments to account for the entire relationship observable in the data at hand. Several information criterions are used for detecting this change in course, the Schwartz Information Criterion (SIC), the Bayesian Information Criterion (BIC), amongst others. The detection method adopted for this work is the Modified Information Criterion (MIC) which tests a null hypothesis of no change point against an alternative that states presence of change-point. The data upon which this methodology is applied is the Italy COVID-19 data. The data was subjected to a linear regression and evaluated after which it was subjected to this change point test and the test shows the presence of a change in course. The sections which the test divides the data into were modelled individually and their regression lines were obtained. The two sections were plotted on a graph with their regression lines intercepting at the crest of the plot.
Analysis of economic data using statistical methods
Krušina, Michal ; Jelčová, Denisa (referee) ; Michalíková, Eva (advisor)
This bachelor's diploma thesis aims to evaluate the financial situation through a financial analysis and subsequent use of statistical methods for CZECH HYDRO, s.r.o. company. The thesis is divided into three main parts — a theoretical part, an analytical part and a practical part. The theoretical part is focused on the description and explanation of the corresponding financial indicators and statistical methods. The analytical part includes the calculations and the final, practical part introduces some proposals for the future prosperity of society.
Analysis of economic data using statistical methods
Dikhtyar, Andriy ; Doubravský, Karel (referee) ; Michalíková, Eva (advisor)
This bachelor thesis is focused on evaluation of the financial situation of the company CHRIŠTOF. The overall structure of the bachelor thesis is divided into three parts - theoretical, practical and propose part. The theoretical part of the bachelor thesis is focused on explanation of financial indicators and statistical methods. In the practical part, calculations of economic indicators will be performed in the field of financial analysis, followed by application of time series to selected indicators. The final part of the bachelor thesis will be followed by a comprehensive summary of the state of the company and its own proposals for improvement of its financial situation.
Assessment Of Economic Indicators of the Company Vinařství U Kapličky s.r.o. Using Time Series
Šešulka, Michael ; Novotná, Veronika (referee) ; Doubravský, Karel (advisor)
The bachelor´s thesis is focused on the assessment of selected economic indicators of the company Vinařství U Kapličky s.r.o. using time series. The theoretical part includes the issue of time-series, regression function and description of selected economic indicators. In the practical part of the thesis is directed to the real use of the information obtained from the theoretical part, using time series are the results of the regression function indicators aligned and subsequently predicted their development in the future. The final part is devoted to the evaluation of the results and based on them are provided with appropriate proposals improve the current economic and financial situation of the company.
Statistical Analysis of a Company Financial Risk Factors
Raclavský, Lukáš ; Sadovský, Zdeněk (referee) ; Karpíšek, Zdeněk (advisor)
The master´s thesis contains a statistical analysis of a company financial risk. Within this analysis were determined the dominant economic and financial risk factors of a company and was made a description of selected inferential statistical methods adequate assessment of the state and time development of these indicators. On a PC was applied methodics developed for concrete data files with focusing on description of the expected risk development existence of a company. In conclusion were achievements evaluated and were determined another possible directions of solving similar problems.
Statistical Methods for Descriptions of Running Pharmacy Helios
Šimková, Marcela ; Pokorný, Petr (referee) ; Kropáč, Jiří (advisor)
Master thesis is dealing with the application of particular statistical methods for a description of pharmacy Helios operation. The attention is primarily focused on stock management within the scope of independent demand model, where the related performance indicators of weekly revenues, daily revenues and expenditures per customer are subsequently exposed to thorough analysis. In addition, one of the main goals of this thesis can be identified as the intention to create an application for continuous monitoring of available stock, where their depletion below the specified level would be reported. This thesis should also provide a certain guidelines how the aforementioned application could be integrated within the existing information system in order to automate the process of orders processing.
Analysis of Economic Indicators of the Company SE, a.s. Using Time Series
Starostová, Andrea ; Ing.Dušan Bdžoch (referee) ; Kropáč, Jiří (advisor)
This Bachelor thesis deals with the most important economic indicators of the company Slovenske elektrarne, a.s. (SE) using the time series. In introduction of the thesis are described the theoretical bases of statistical methods and practical part of the thesis is focused on processing of selected indicators of the company, eventually the designation of their prognosis in the near future.

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