National Repository of Grey Literature 16,462 records found  1 - 10nextend  jump to record: Search took 0.61 seconds. 

The graphic execution of the book Tento večer written by Ivan Blatný
The thesis sloves graphic elaboration of book of poetry Tento večer written by Ivan Blatný. The thesis is divided to teoretical and practical part. In teoretical part are solved resources important for understanding the sense and essence of this poetry production. It`s necessary for create right form of practical realisation, which has to be created in accord of form and subject of poems. The source for this analysis are text of poems and special and technical literature about art literature, aesthetics and theory of art. Practical part resolves more than one art form. All these forms are trying to express essence of literary work. After analysis it seems that banality and commonness of human life are the essence of these poems. And the essence is to express myth of human life and searching sense of life.

Empirical analysis of Okun’s law in Iceland
Zajíček, Zdeněk ; Slaný, Martin (advisor) ; Chytilová, Helena (referee)
This thesis deals with empirical analysis of Okuns law in Iceland. Okuns hypothesis of negative relationship between real GDP and the rate of unemployment is being tested on two models, difference and gap, using OLS estimation. Also there are two filtration methods used (Hodrick-Prescott and Baxter-King) for gap model estimation. The results of all models showed weak relationship of variables, but proved the hypothesis. In the following part, the same procedure is being used on Finlands data, to get comparison of coefficients. Results for Finland showed weaker bond of variables than in Iceland, but the Okuns hypothesis still holds. Last part is focused on finding the sensitivity of rate of unemployment to changes in added value of each economical sector in Iceland using the production approach model. This model gave inconclusive results due to insufficient data available.

Social housing - comparison of Concept of Social Housing in the Czech Republic 2015-2025 and Austrian social model
Hejduk, Radim ; Krebs, Vojtěch (advisor) ; Barák, Vladimír (referee)
The thesis is focused on social housing - public policy, that is applied in many countries of the EU. Czech Republic is currently trying its implementation. Due to rising household's costs of housing, rising expenses on demand-oriented housing policy in form of housing benefits and difficult to solve social exclusion, social housing appears to be one of the more accessible ways of solution. The goal of the thesis is at first to analyze and evaluate known forms of social housing and its application from the economic perspective, then to form reccomendations for the Conception of Social Housing for the Czech Republic in the period 2015-2025 using comparison to already-existing Austrian model. This text answers the main research question how does functioning model of social housing look like and what are the economic impacts of it on households.

The business plan for SnackBag company and its expansion into the foreign markets
Ježová, Jana ; Svobodová, Ivana (advisor) ; Srpová, Jitka (referee)
The aim of this thesis is to create a business plan for the newly established business subject in the health food industry and evaluate the viability of the plan. The plan also includes the choice of the appropriate form of potential expansion into the foreign market. This thesis is divided into theoretical and practical parts. To create this business plan, firstly it was necessary to write down the complex theoretical framework of the basic aspects which are crucial for small and medium businesses. Secondly, it was needed to sum up the general principles of creating a business plan, characterise its structure and mention the most common mistakes and problems that entrepreneurs may encounter. The theoretical part is concluded by a description of the appropriate forms of expansion for small and medium businesses. Based on this theoretical framework the business plan for the company SnackBag was created with the emphasis on the project´s financial calculation. The calculations confirm the business plan as viable. Analysis of the main advantages and disadvantages of particular forms of expansion to foreign markets concludes that the franchise was evaluated as the most suitable for SnackBag.

Serverless single page application in JavaScript
Zikmund, Marian ; Pecinovský, Rudolf (advisor) ; Suchan, Vladimír (referee)
The goal of this thesis is to design and develop a framework for building modern single- page application in the JavaScript programming language and describe this approach to development. The work also contains the documentation for a more comfortable use and customization. The content is divided into eight chapters. The introduction is followed by the retrieval of information resources, including the specifics of the JavaScript programming language and explanation of the formation of single-page application. The description of the basic principles of their functioning, motivation and justification, when and why this approach is appropriate is also included. The work is primarily focused on the issue of single-page application, for which the use of the JavaScript programming language is crucial. For this reason, this work provides a whole chapter about this programming language, also including a description of its history and role in the context of others. Below are the common characteristics of single-page applications frameworks, built on top of the library ReactJS, whose formation is engaged in the following chapter. The developed framework also contains the user guide. The practical outcome of this work is an open source framework for creating serverless single-page applications, which is due to its architecture and documentation appropriately adaptable.

Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.

Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.

Use of Interest Rate Models for Interest Rate Risk Management in the Czech Financial Market Environment
Cíchová Králová, Dana ; Arlt, Josef (advisor) ; Cipra, Tomáš (referee) ; Witzany, Jiří (referee)
The main goal of this thesis is to suggest an appropriate approach to interest rate risk modeling in the Czech financial market environment in various situations. Three distinct periods are analyzed. These periods, which are the period before the global financial crisis, period during the financial crisis and in the aftermath of the global financial crisis and calming subsequent debt crisis in the eurozone, are characterized by different evaluation of liquidity and credit risk, different relationship between financial variables and market participants and different degree of market regulations. Within this goal, an application of the BGM model in the Czech financial market environment is crucial. Use of the BGM model for the purpose of predicting a dynamics of a yield curve is not very common. This is firstly due to the fact that primary use of this model is a valuation of interest rate derivatives while ensuring the absence of arbitrage and secondly its application is relatively difficult. Nevertheless, I apply the BGM model to obtain predictions of the probability distributions of interest rates in the Czech and eurozone market environment, because its complexity, direct modeling of a yield curve based on market rates and especially a possibility of parameter estimation based on current swaptions volatilities quotations may lead to a significant improvement of predictions. This improvement was also confirmed in this thesis. Use of swaptions volatilities market quotations is especially useful in the period of unprecedented mone- tary easing and increased number of central banks and other regulators interventions into financial markets that occur after the financial crisis, because it reflects current market expectations which also include future interventions. As a consequence of underdevelopment of the Czech financial market there are no market quotations of Czech koruna denominated swaptions volatilities. I suggest their approximations based on quotations of euro denominated swaptions volatilities and also using volatilities of koruna and euro forward rates. Use of this approach ensures that predictions of the Czech yield curve dynamics contain current market expectations. To my knowledge, any other author has not presented similar application of the BGM model in the Czech financial market environment. In this thesis I further predict a Czech and Euro area money market yield curve dynamics using the CIR and the GP models as representatives of various types of interest rates models to compare these predictions with BGM predictions. I suggest a comprehensive system of three criteria, based on comparison of predicti- ons with reality, to describe a predictive power of selected models and an appropria- teness of their use in the Czech market environment during different situations in the market. This analysis shows that predictions of the Czech money market yield curve dynamics based on the BGM model demonstrate high predictive power and the best 8 quality in comparison with other models. GP model also produces relatively good qua- lity predictions. Conversely, predictions based on the CIR model as a representative of short rate model family completely failed when describing reality. In a situation when the economy allows negative rates and there is simultaneously a significant likelihood of their implementation, I recommend to obtain predictions of Czech money market yield curve dynamics using GP model which allows existence of negative interest rates. This analysis also contains a statistical test for validating the predictive power of each model and information on other tests. Berkowitz test rejects a hypothesis of accurate predictions for each model. However, this fact is common in real data testing even when using relatively good model. This fact is especially caused by difficult fulfilment of test conditions in real world. To my knowledge, such an analysis of the predictive power of selected interest rate models moreover in the Czech financial market environment has not been published yet. The last goal of this thesis is to suggest an appropriate approach to obtaining pre- dictions of Czech government bonds risk premium dynamics. I define this risk premium as a difference between government bond yields and fixed rate of CZK IRS with the same length. I apply the GP model to describe the dynamics of this indicator of the Czech Republic credit risk. In order to obtain a time series of the risk premium which are necessary for estimation of GP model parameters I firstly estimate yield curves of Czech government bonds using Svensson model for each trading day since 2005. Resulting si- mulations of risk premium show that the GP model predicts the real development of risk premiums of all maturities relatively well. Hence, the proposed approach is suitable for modeling of Czech Republic credit risk based on the use of information extracted from financial markets. I have not registered proposed approach to risk premium modeling moreover in the Czech financial market environment in other publications.

Differences between men and women in the Czech labour market
Stroukal, Dominik ; Kadeřábková, Božena (advisor) ; Pavelka, Tomáš (referee) ; Němec, Otakar (referee)
This thesis consists of five articles that apply current world research on labor economics at the Czech Republic and confirms the significant differences between men and women in this market. It shows that gender has a significant influence on the preference on the labor market and, consequently, on employment and health. First, the thesis shows that preferences are relevant determinant of career and then we study the difference in preference of salary for men and women. Subsequently it shows that gender plays a significant role in explaining the relationship between homeownership, and unemployment, as well as unemployment and health. The first chapter was able to demonstrate that the preference for a career has a positive influence on the choice of career. The influence of higher education on prioritizing career proved to be positive and significant. Probability of a career choice is reduced by the presence of children, however, is not dependent on their number, which is contrary to the theory of preferences. The second chapter shows that Czech women prefer more non-monetary rewards than men. It has also been shown that people with university education are same in the preferences of non-monetary rewards regardless of the gender of the respondents, however, compared to the world's research, the Czech higher education increases this preference. It turned out that women prefer risk less than men. The third chapter demonstrates that although the housing market undermines labor mobility and employment in the Czech Republic at the regional level, therefore, that in regions with a higher rate of home ownership is higher unemployment, at the individual level, the owners of housing are unemployed are less likely. The estimates are significantly different for men and women. Men living in owner-occupied housing have a higher likelihood of employment than women. At regional level, however, this thesis shows that the high rate of home ownership increases unemployment for both men and women, in the long run only to women. The fourth chapter showed that men transition to homeownership reduces the likelihood of unemployment next year. For women, this relationship has proved to be insignificant. In addition, as insignificant showed the opposite relationship, the transition from unemployment to the newly acquired home ownership. The last chapter shows that the change in the working status to unemployment will increase in the future probability of worse health. Influence in less than two years, however, proved to be significant. An important conclusion is that men have a significantly stronger relationship between health and unemployment than women.

The role of nurse in the care of child patient with hemangiom.
One of the most important areas of society-wide tasks influencing the health of the whole population is child care. It includes care of children with a hemangioma. Hemangiomas are the most common benign (not malignant) vascular tumours of a child age. This benign tumour may be present as early as at birth or appear in the first weeks of life. It is usually located on or under the skin surface but may also affect internal organs. Although a hemangioma may affect any body part, it is mostly located on the head and neck. A hemangioma is diagnosed in a tenth of new-born children. Hemangiomas typically appear at neonatal age or infancy. The objectives of the diploma thesis "Nurse's Roles in Care of a Child Patient with a Hemangioma" are to examine the roles of nurses in care of a child patient with a hemangioma, as seen by parents (mothers) of the children, and to identify which of the roles is the most important for the parents (mothers). It has also been ascertained whether nurses deal with any problems while providing this care and whether occurrence of a hemangioma in a child has any influence on the child's family. It has also been ascertained whether any complications are encountered in the treatment of children with a hemangioma. A qualitative research was used for data processing. Several methods of data collection were used. The researcher used a case history according to the model of Virginia Henderson, semi-structured interview with mothers of patients, data content analysis and secret participant observation during outpatient checks. The last method used was a survey aimed at nurses who took care of children with a hemangioma, asking them whether they dealt with any problems and complications in such children. The first research set consisted of ten child patients who were selected on purpose on the basis of pre-set criteria. The first criterion was presence of a hemangioma; five patients were hospitalised with a hemangioma and underwent a treatment with propranolol, while the other five patients with a hemangioma underwent only a conservative treatment. Last but the most important criterion was that mothers of patients with a hemangioma granted their consent to the research. These mothers formed the second research set and underwent a semi-structured interview focused on their personal experience with a hemangioma and on the work of nurses as seen by mothers. The last research set consisted of ten nurses who were also selected on purpose on the basis of a very important criterion, which was care of child patients with a hemangioma. This thesis may be of a benefit not only for professionals who are in contact with children with a hemangioma but may also serve to deepen general knowledge of other healthcare professionals who may encounter this disease either in their professional or private life. Based on the information acquired for the diploma thesis, was prepared for nurses and will be presented at professional workshops.