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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.
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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.
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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.
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Building and using small computer networks
Borecký, Jiří ; Pinkas, Otakar (advisor) ; Šmejkal, Ivo (referee)
This thesis deals with the construction and use of smaller computer networks. To build a better and more efficient computer network was used corporate network of parents, which is mainly used for the operation of accounting. The input information was used for generating analysis of the current state of the computer network. Additionally makes a proposal, which leads to improvement of the computer network and then testing whether the proposal was successful.
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The impact of South China Sea dispute on trade relations between China and Vietnam
Nguyen Hong, Viet ; Vlčková, Jana (advisor) ; Hasík, Gabriel (referee)
This bachelor thesis investigates the impact of South China Sea dispute on mutual relations between China and Socialist Republic of Vietnam. Thesis lays great emphasis on the analysis of mutual trading relations. The goal of this work is to find out if the dispute over territory has negative influence on mutual relations and to what extent. Therefore, thesis is divided into 3 main chapters. The introductory chapter describes position and development of each country. Second chapter uses findings from the introductory part for the analysis of political and trade relations of both countries. It focuses on the history of mutual relations and mainly it lays emphasis on current mutual relations. Last chapter of the thesis is dedicated to the issues regarding South China Sea. Motives and causes of this dispute are described in this chapter. It provides a view on the course of this territorial dispute, and also impacts on mutual relations are analyzed. The output of all three chapters helps to formulate following conclusion. Dispute over South China Sea has impact on mutual relations. Predominantly, it influences political relations between China and Vietnam, therefore, this dispute is often mentioned in media. However, according to available data this dispute has not had major effect on trading relations. Mutual trading between both countries went off in dispute period without any limitations and barriers.
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The capacity of the European Union to form a common foreign policy: The approach towards Russia during the crisis in Ukraine
Grycová, Adéla ; Rolenc, Jan Martin (advisor) ; Cibulková, Petra (referee)
The thesis deals with the issues of framing and europeanization of the foreign policy of the European Union in the context of an actorness of the EU. These two theoretical concepts are applied on the case of an approach of the Czech Republic and European Union towards Russian Federation during the crisis in Ukraine. The aim of this thesis is to find out if the European Union is capabble of affecting the behaviour of a member state in order to create unified and operational foreign policy. The first chapter deals with teoretical definition of the two concepts and detailed description of the stances of Czech Republic and European Union follows in the second one. On the basis of these chapters the assessment is conducted. The last part firstly concludes if any attempt of influecing is present and secondly the success rate of the attempt is evaluated.
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Specifics of nursing care of a child patiens with oncological pain.
ČAŇKOVÁ, Helena
The topic of the thesis is: Specifics of nursing care of a child patient with oncologic pain. Children{\crq}s pain is a phenomenon surrounded by many myths and false information. It is also not sufficiently assessed and treated and often bagatelized by both nurses and doctors. Nurses play irreplaceable role in pain treatment, they are with the child patient more frequently then the doctor and are in close touch with the child{\crq}s parents. The care of a suffering child is a serious task in nursing. Treatment of a patient in pains requires a complex, holistic approach. Nurses, even if they diagnose pain properly, do not set an adequate nursing care plan and do not carry it out. Nurses have to defend interests of the sick child and must not let him/her suffer. The data was obtained by quantitative and qualitative research. The quantitative research was carried out by the technique of anonymous questionnaire. The questionnaire was made for the parents of children with oncologic disease. The qualitative research was carried out by the technique of semi-structured in-depth interview. The research sample consisted of nurses working at the Department of children{\crq}s oncology One of the aims of this thesis was to outline the problems in nursing care of a child patient with oncologic pain from the point of view of the parents. We observed if the parents had been informed about their child{\crq}s pain, if they know what symptoms they should watch in their child, if they know all the aspects of pain to be assessed and treatment methods to relieve the pain and also how nurses respond to their child{\crq}s pain. For this aim, a following hypothesis has been set forth: The parents of children patients with oncologic pain are educated about the possibilities of nursing care focused on relieving the pain. This hypothesis was confirmed by statistic testing. Another aim of this thesis was to find out the specifics of nursing care of a child patient with oncologic pain. Nurses think that the specifics of nursing care of a child patient with oncologic pain are not different from any other care of a child in pains. They just state that an oncologic disease is associated with pains caused by the disease itself or by diagnostic or therapeutic procedures. Therefore they consider a specific feature the fact that the pain is observed more intensively and the staff is more precise in relieving the pain. It is obvious from the research that it would be effective for both parties, both for the nurses and the parents, to use educational materials on pain intended for them. I suppose that if there were such materials available, the parents would not need to contact nurses repeatedly. There was also a positive finding in the research that 92.5% of parents stated that nurses respond to children{\crq}s pain within 10 minutes. Further, that nurses believe that the child has pains, which was stated by 98.2% of the parents.
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Demonstrate the principles of application development for Android on the example of a simple game
Tatoušek, Petr ; Pecinovský, Rudolf (advisor) ; Oraný, Vladimír (referee)
Demonstration of the Android application development principles explained on a simple game is a thesis describing in it's theoretical part Android OS. It also briefly describes it's history and especially it's architecture emphasizing on my thesis' part relevant to the practi-cal part of my dissertation. It also focuses on the general applications' architecture princi-ples for this operating system. In the practical part of the thesis I tend to describe the application development principles for Android OS. This is achieved on an sample application. This sample application is an implementation of a text-based adventure game in the Java language. It uses SQLite data-base for storing the game data. There is a game framework which enables entering diffe-rent game data to the database and thus playing different games with divergent game plays.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Giuseppe Verdi: "Don Carlos" - opera complex scenographic project
Heřmánková, Lucie ; DAVID, Milan (advisor) ; TEMPÍR, Nikola (referee)
This bachelor’s thesis aims to find complex scenographic solution of Don Carlos opera composed by Italian author Giuseppe Verdi. Apart from my own creative solution I also present theoretical chapters of authors biography, relation to his work and I compare several Don Carlos productions by Josef Jelínek who designed six unique costume variations.
During process of making the set design I came up with lots of topics to think about. I chose freedom as main topic by studying past productions, libretto and musical part. This topic is one of the key elements of the creative solution and therefore I defined it further in part of this thesis. I am also looking for artistic ways that would be the most suitable and adequate for the opera, musical-dramatic genre, in which music could be more important than libretto. I am trying to find connections to contemporary society and keep the story up to date.
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