|
|
The world rice market
Hrbek, Milan ; Gullová, Soňa (advisor) ; Štemberk, Jan (referee)
This thesis deals with current situation on the world rice market. The main goal is to describe current situation on the market and create prediction of another development. The first chapter deals with characteristic, classic and alternative use of rice. The second chapter describes the market situation thru production, prices development and largest traders. It describes also the most important organizations, which affect the world market of rice. The third and last chapter deals with estimate of future development of the market. The first part of it describes new trends like ¨Golden rice¨and ¨Bio rice¨ and also innovations necessary for future development of the rice market. The last part of the thesis contains estimates of future production, international business, prices and consumption development.
|
|
|
Ice Hockey Match Prediction Using Data Mining Model
Matuš, Martin ; Maryška, Miloš (advisor) ; Volavka, Filip (referee)
This thesis focuses on creation and comparison of ice hockey matches prediction models with the view on ice hockey world championship matches. The first part is dedicated to collecting theoretical knowledge needed for solving this problem and the second to applying this set of knowledge. The model creation approach is intertwined with the CRISP-DM data mining methodology, which also defines several chapters of this work. As input data for the models I used performance statistics of individual ice hockey players -- this brought me to implementing a script capable of automatic downloading and aggregating of player data from the Internet. Downloaded data were arranged so as they would represent ice hockey matches that were played during the championships (team A consisting of players X against team B consisting of players Y) with result of the match added to the data row. Data were also analyzed to detect any quality issue prior to the model creation and transformed into an integrated view. Result assessment consists of two parts, in the first the technical evaluation of models using data from the testing data set takes place. The first part also points out practical usefulness of the models. The next part is about comparing result data with the betting odds -- the business relevance of the model. This part uses open source data about betting odds listed on the corresponding matches. Finally, the outcome model is used for predicting matches of the group phase of the world championship taking place in Prague, 2015.
|
|
|
The Importance of Tourism in the Southern EU Countries
Philippe, Fanny ; Bič, Josef (advisor) ; Němcová, Ingeborg (referee)
This diploma thesis deals with the importance of tourism for a group of states which includes Portugal, Spain, Italy and Greece. The aim of this thesis is to identify the importance of tourism to the economy and to interconnect it with the competitiveness of those countries in tourism via an analysis of the current situation in tourism and via analysing the effects that tourism has on these economies in the past last five years. The first chapter explains the most important terms concerning the subject in theory. The next chapter introduces tourism within the PIGS economies and the third chapter is devoted to tourism competitiveness of the southern EU countries and creates a predicition of their future development in tourism.
|
|
|
Forecast sources for selected individual industries for business valuation purposes
Navrátil, David ; Maříková, Pavla (advisor) ; Beran, Marek (referee)
The aim of this thesis is to identify and according to selected criteria to evaluate the forecast sources for selected individual industries. The first section summarizes current situation in area of forecast sources for development of individual sectors. The second part presents outline of procedure for forecast sources identification and research. Then follows selection of individual industries that will be analyzed. Part of the second section is introduction of the evaluation criteria as well as methodology for the final assessment. Third part of the thesis is focused on practical work consisting of identification and searching for the sources for individual industries, their detailed evaluation based on established criteria and final assessment of individual sources for each sector. Third part is followed by summary and description of the findings and recommendations.
|
|
|
Building a predictive model for bankruptcy
BÜRGER, Pavel
Thesis deals with complex process of creation of new bankruptcy model for predicting business failure, while this process involves selection of quality sample, verification of classification accuracy of already existing bankruptcy models, profile analysis and finally the derivation of specific equation of bankruptcy model. The derivation is performed by using two selected statistical methods, discriminant analysis and logistic regression. Two bankruptcy models Bürger's index DA12 and Bürger's index LR12 were derived by using the mentioned statistical methods. The new models distinct advantage is, unlike already existing and renowned bankruptcy models, that they are focused on classification of micro and small enterprises in terms of Czech Republic, while classification accuracy one year before failure is by individual models 74.8 % and 81.87 %. Derived models have clear interpretation (no grey zone) and easy calculation, which brings a possibility for micro and small entrepreneurs to check their business partners in terms of failure prediction.
|
|
|
Analysis of selected indicators on stock market
BUREŠ, Otto
In this work was evaluated the effectiveness of artificial neural networks in trading on the stock markets. The subject of the work was the process of optimizing parameters of artificial neural networks, the resulting predictive efficiency was determined on the basis of the application being optimized parameters of neural networks.
|
|
|
Analysis of the selected economic time series
BEDNÁŘOVÁ, Michaela
The goal of this bachelors work was to analyse the selected time series by using the methods of evaluating data. These time series describe the average wage in the finance and insurance industry. With the help of regression analysis to determine and adjust the trend, identify and set seasonality (you can also say make trend and seasonal decomposition). Another task was to make an appropriate model, which will describe the analysed data the most accurately. Than in the end to verify all of these calculations and facts by special statistical tests, to be able to make a prediction about the future development of the average wages. However at first, the readers of this work were familiarized with the issues of the time series. I described their use and the ways in which can the timely collected data be analysed, and I gave some examples of the time series. I also mentioned the characteristic of the analysed data, which were found on CSU. In the end of this work I summarized all the results and answers, based on the discussion in this bachelors work. By executing all of my tasks I can say that I fulfilled my bachelor work.
|
|
|
Economic structure czech population - development, perspective
KOKŠTEIN, Jiří
This bachelor thesis is written in order to evaluate the development of the economic structure of the population of the Czech Republic in the wider context of demographic ageing. The work is devided into the theoretical and the practical part.In the theoretical part the objectives of the work are included, the hypotheses, the litera-ry research of professional literature and methodology of drawing up this work.In the practical part of the work is with the help of probability and mathematical dis-ciplines studied development of selected indicators.The work proves that demographic ageing will continue in the Czech Republic and it will be necessary to adopt the political, economic, legislative and socio-cultural measures that the impact of demographic ageing of the population at least mitigate.
|
|
|
Predictors of reading skills development in the context of risk of specific learning disabilities.
PUDÍKOVÁ, Jana
This thesis explores the possibilities of dyslexia prediction at primary children. It is divided into two parts a theoretical one and a practical one. The introduction of the theoretical part is focused on the children reading skills development. However, the possibilities of reading failure prediction and diagnosis of dyslexia are the key content of this part. In this respect I focus on the preschoolers and children at the beginning of the school attendance. I mention a few predictive batteries. The theoretical part is concluded with the current information about dyslexia prevalence in the Czech Republic and abroad. The practical part is based on the theoretical part. It contains the results of the research investigation. I got these results during the testing of morphological and phonological abilities as well as reading tests. The research was performed in the second class of primary school. The main objective of the thesis was to find out what is the relationship between performance in reading and morphological and phonological abilities.The test method of the quantitative investigation was used in this research.
|
|
|
Models of Revenue Management
Veselová, Erika ; Fiala, Petr (advisor) ; Jablonský, Josef (referee)
The progress in information and communication technologies, together with scientific pro-gress in economics, statistics and operational research, influenced the rapid development of process understanding, and estimation and prediction of customer demand, in real-time revenue management. The aim of this work was the detailed description of the essential principles to be included in the business strategy in order to maximize revenue. Network revenue management models seek to maximize revenue when customers buy products with multiple sources. This concept was applied to the example of the aviation industry and a computing program was developed which could be generalized to other industries. This used a "hub-and-spoke" network and programs MS Excel, LINGO and VBA. The paper also describes the basic steps of revenue management that are repeated todetail the fore-casts and dynamically perform re-optimization of the required decisions, to specify the complete process in detail.
|
guest ::
