Thesis The beer trade trends identifies variables which have an impact on the consumption of beer and predicts the trend of trade in beer in the Czech Republic in the globalization context. To achieve the results was used linear econometric model. Using the Method of least squares determined the size and direction of individual variables for beer consumption. Based on the verified model is a model applicated and based on software Gretl is predicted the beer consumption for a period of 3 years. The biggest influence on beer consumption has production, nominal wages (adjusted for inflation), and the impact of the economic crisis. The prediction is dependent on the lingering economic crisis, beceause the predicted values for 2015 are higher than beer consumption in the same year by 3 litres. The lingering economic crisis has an impact in 2015 on the consumption of beer and during 2016 this dependence should disappear. Trend beer consumption is rising to the level of 146 l per person per year.

Biogas produced via the anaerobic digestion (AD) of organic waste materials is considered as an important technology in improving the environment because it solves waste management problems and simultaneously produces biogas as a main product and digestate as a by-product, which can also be used as a fertilizer. Within the rising expectations for the substitution of fossil energy with renewable energy as one of the solutions to cope with climate change, the environmental aspects of small-scale biogas plants, as widely used method for energy creation, should be evaluated in a holistic and systematic way. The use of small-scale biogas plants is mostly common for energy creation from waste in Southeast Asia. This source of energy is mainly lauded for its low costs, clean production and high fertilization effects of digested matter for crops. There are number of advantages of small-scale biogas production on farms, including also savings on firewood or fossil fuels and reduction in odour and greenhouse gas emissions from using other fuels. However, biogas plants are often poorly managed and there is lack of proper distribution systems for biogas. That results in methane being release inadvertently through leaks in digesters and tubing, and intentionally when production exceeds demand. As methane has a global warming potential 25 times higher than that of carbon dioxide, environmental advantages of small-scale biogas plants might be compromised. This dissertation intends to provide in-depth understanding about the issue with taking into accounts possible risks. Investigating of such a topic is within continuing concern about small-scale biogas technology in rural areas of developing countries. For this reason technical, social, economic and environmental assessment of small-scale biogas technology will be done. Methods of data collection will consist of questionnaire survey and focus group discussions among randomly selected owners of biogas plants, semi-structured personal interviews with local authorities and facilitators and observation. Furthermore, prediction of future development of this technology will be created.

Thesis evaluates the financial situation of furniture company JELÍNEK - výroba nábytku s. r. o. during the reference period 2010-2014. The first part discusses the theoretical bases of financial analysis. In the second part is elaborated the financial analysis. Horizontal and vertical analysis of financial statements and analysis of differential and financial ratios were excuted. Fundamental characteristics of time series are applied on selected fundamental characteristics. The economic situation of the company, its development and future prediction of the situation is evaluates. Based on the findings specific solutions are developed to improve the financial situation.

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The disseratation theses deals with the problem of cost-sensitive binary classification by means of neural networks applied in economical prediction tasks, especially in the field of financial distress prediction. The first part contains the review of existing research in this area and the challenging key points related to cost-sensitive classification are set there. After that, the application of existing Receiver Operating Characteristics (ROC) method, which is able to solve mentioned problems, is discussed and the possibility of its wider use in economical prediction is proposed. The methodology of ROC analysis application is shown in medical and economical experiment of classification with neural networks.

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A Linear mixed-effects model (LME) is one of the possible tools for longitudinal or group--dependent data. This thesis deals with evaluating of prediction error in LME. Firstly, it is derived the mean square error of prediction (MSEP) by direct calculation. Then the covariance penalty method and crossvalidation is presented for evaluation of MSEP in LME. Further, it is shown how Akaike information criterion (AIC) can be used in mixed-effects models. Because of the model's properties two types of AIC are distinguished - marginal and conditional one. Subsequently, the procedures of AIC's calculation and its basic asymptotic properties are described. Finally, the thesis contains simulation study of behaviour of marginal and conditional AIC with the goal to choose the right variance structure of random effects. It turns out that the marginal criterion tends to select models with smaller number of random effects than conditional criterion.

The main objective of this thesis is to analyze the quality of forecasts of tax revenues. Detail focuses on the town of Nachod, wherein by means of selected quantitative Methods I am trying to suggest potential estimate for tax revenues. Furthermore, based on publicly available data, analyze ten other similarly sized towns. Comparing prediction cities with the estimate of the Ministry of Finance and the reality. Based on these data, I am trying to prove or disprove the hypothesis that the city predicted earnings consistently underestimate, while the Ministry of Finance is overestimates. The results of the analysis of Nachod based on the possibility of more accurate predictions for income taxes using the method of exponential smoothing. For value added tax and land value tax, then using the method of average growth. The hypothesis can be confirmed only partially. Municipalities actually understate their income often. The Finance Ministry, however, in its prediction does not commit more frequent overstatement.

The diploma thesis deals with the situation on senior tourism market. The aim of the diploma thesis is to characterize seniors on tourism market, describe the current situation in senior tourism market and define the most important characteristics of senior customer,including possible segmentation. The diploma thesis is divided into six chapters.