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Social and geographical aspects of support for and variability of nationalism in Czechia
Cihlář, Pavel ; Lepič, Martin (advisor) ; Suchánek, Jonáš (referee)
Czech nationalism is a phenomenon that formed Czech history and it is still forming the Czech identity and attitudes. Nevertheless, this term significantly disappeared from the Czech public debate, as if it no longer concerned the Czech nation. This bachelor thesis tries to go against the trend, it`s target is to introduce the Czech nation and nationalism, to define the factors that determine the nationalist attitudes, and the analysis of their spatial variability. To achieve the targets the thesis uses a statistical method of binary logistic regression which is used for monitoring the relationship between the proxy variable of nationalism and the independent variables which are the basic structural and attitude variables commonly used in nationalism research. Through these predictors, the two influential hypotheses explaining the support for nationalism are tested. The theory of "losers of globalization" supposes the conditionality in the economic status and the theory of "cultural backlash" based on a nativist ideology. The found statistic associations were further observed in a regional detail using regions defined on the base of two - many times observed spatial patterns, namely phantom`s borders and dichotomy of core-periphery, further according to their combination and also according to the...
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Gini coefficient maximization in binary logistic regression
Říha, Samuel ; Hanzák, Tomáš (advisor) ; Hlávka, Zdeněk (referee)
This Bachelor thesis describes a binary logistic regression model. By means of the term loss function a parameter estimation for the model is derived. A "rich" set of "proper" loss functions - beta family of Fisher-consistent loss functions - is defined. In the second part of the thesis, four basic goodness-of-fit criteria - Gini coefficient, C-statistics, Kolmogorov-Smirnov statistics and coefficient of determination R2 are defined. Further on, a possibility of parameter estimation by maximizing the Gini coefficient is analysed. Several algorithms are designed for this purpose. They are compared with so far existing methods in one simulated data set and three real ones. 1
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Logistic regression with applications in financial sector
Bílková, Kristýna ; Branda, Martin (advisor) ; Pešta, Michal (referee)
In this bachelor thesis binary logistic regression model is described. Its parameters are estimated by maximum likelihood method. Newton-Raphson's algorithm is used for enumeration of these estimates. There are defined some statistics for testing the significance of the coefficients. Then stepwise regression is desribed. For assessing the quality of the model Pearson's Chi Square Test and Hosmer-Lemeshow's Test of the goodness of fit are defined. Diversification abilitz of the model is illustrated bz the Loreny curve and is quantificated by Gini coefficient, Kolmogorov-Smirnov statistics and generalized coefficient of determination. The theoretical knowledge is applied to insurance area data.
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Agenda Setting in the Issue of Refugeedom: Analysis of Connection Between Media Exposure and Perceived salience of the Issue
Michalová, Lea ; Remr, Jiří (advisor) ; Soukup, Petr (referee)
The diploma thesis concerns itself with the analysis of connection between the media exposure to refugeedom topics and the perceived salience of the issue. Combined qualitative and quantitative research designs ruled by QUAN → qual scheme are used in the thesis. In the quantitative part the effect of exposure to refugeedom-related news on the perceived salience of the subject is constructed using TV and newspaper viewing figures while controlling socio- demographic characteristics of respondents. Binary logistic regression was used to find the influence. The analysis shows that the exposure to content concerning immigration and refugees has influenced the rated importance of the issue. However, there are other variables not included in the model which are affecting the salience. The qualitative approach offers insights into the relationship discovered with quantitative methods. In-depth interviews showed people are aware of the media influence mainly regarding topics they are thinking about and discussing with their social surroundings. According to some interviewees this influence is stronger observed in topics where we lack personal experience, like the refugees. Apart from the media other issues like value orientation, life experience, social surroundings or the extent of criticism may have...
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Estimation and goodness-of-fit criteria in logistic regression model
Ondrušková, Markéta ; Hanzák, Tomáš (advisor) ; Zvára, Karel (referee)
In this bachelor thesis we describe binary logistic regression model and estimation of model's parameters by maximum likelihood method. Then we propose algorithm for the least squares method. In the goodness-of-fit criteria part we define Lorenz curve, Gini coefficient, C-statistics, Kolmogorov-Smirnov statistics and coefficient of determination R2 . We derive their relation to different sample coefficients of correlation. We derive typical relation between Gini coeffi- cient, Kolmogorov-Smirnov statistics and newly also coefficient of determination R2 via model of normally distributed score of bad and good clients. These derived teoretical results are verified on three real data sets. Keywords: Binary logistic regression, maximum likelihood, ordinary least squa- res, Gini coefficient, coefficient of determination. 1
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Analysis of EU divorce rates in countries in socio-demographic perspective
Stýblová, Julie ; Rychtaříková, Jitka (advisor) ; Kalibová, Květa (referee)
Analysis of EU divorce rates in socio-demographic perspective Abstract The aim of this diploma thesis is to analyze the basic trends in the development of the divorce rate in selected countries of the European Union, in the period of 1995 through 2015 and to find similar or different trends among them. The work is focused not only on the development of individual indicators of the divorce intensity, but also on the possible causes of changes in family behavior, both from a demographic and sociological point of view. Therefore, the second part of the work focuses on attitude analysis of the evaluators by particular country of the European Union, namely the specific attitudes of choosing a family, marriage and an opinion on divorce. The intensity of divorce rates increases during the observed period in all monitored countries, therefore the share of divorced persons in the European population increasing, too. The reasons are mainly the social and economic changes in society, which go along with the changes in family behavior. Divorce is tolerated by society and as behavior is justifiable for most people. On the other hand, family and marriage are still very important values for the people of European countries. Keywords: divorce rate, family, Europe, attitudes, binary logistic regression, cluster analysis
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Agenda Setting in the Issue of Refugeedom: Analysis of Connection Between Media Exposure and Perceived salience of the Issue
Michalová, Lea ; Remr, Jiří (advisor) ; Soukup, Petr (referee)
The diploma thesis concerns itself with the analysis of connection between the media exposure to refugeedom topics and the perceived salience of the issue. Combined qualitative and quantitative research designs ruled by QUAN → qual scheme are used in the thesis. In the quantitative part the effect of exposure to refugeedom-related news on the perceived salience of the subject is constructed using TV and newspaper viewing figures while controlling socio- demographic characteristics of respondents. Binary logistic regression was used to find the influence. The analysis shows that the exposure to content concerning immigration and refugees has influenced the rated importance of the issue. However, there are other variables not included in the model which are affecting the salience. The qualitative approach offers insights into the relationship discovered with quantitative methods. In-depth interviews showed people are aware of the media influence mainly regarding topics they are thinking about and discussing with their social surroundings. According to some interviewees this influence is stronger observed in topics where we lack personal experience, like the refugees. Apart from the media other issues like value orientation, life experience, social surroundings or the extent of criticism may have...
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Logistic regression with applications in financial sector
Bílková, Kristýna ; Branda, Martin (advisor) ; Pešta, Michal (referee)
In this bachelor thesis binary logistic regression model is described. Its parameters are estimated by maximum likelihood method. Newton-Raphson's algorithm is used for enumeration of these estimates. There are defined some statistics for testing the significance of the coefficients. Then stepwise regression is desribed. For assessing the quality of the model Pearson's Chi Square Test and Hosmer-Lemeshow's Test of the goodness of fit are defined. Diversification abilitz of the model is illustrated bz the Loreny curve and is quantificated by Gini coefficient, Kolmogorov-Smirnov statistics and generalized coefficient of determination. The theoretical knowledge is applied to insurance area data.
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Gini coefficient maximization in binary logistic regression
Říha, Samuel ; Hanzák, Tomáš (advisor) ; Hlávka, Zdeněk (referee)
This Bachelor thesis describes a binary logistic regression model. By means of the term loss function a parameter estimation for the model is derived. A "rich" set of "proper" loss functions - beta family of Fisher-consistent loss functions - is defined. In the second part of the thesis, four basic goodness-of-fit criteria - Gini coefficient, C-statistics, Kolmogorov-Smirnov statistics and coefficient of determination R2 are defined. Further on, a possibility of parameter estimation by maximizing the Gini coefficient is analysed. Several algorithms are designed for this purpose. They are compared with so far existing methods in one simulated data set and three real ones. 1
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Estimation and goodness-of-fit criteria in logistic regression model
Ondrušková, Markéta ; Hanzák, Tomáš (advisor) ; Zvára, Karel (referee)
In this bachelor thesis we describe binary logistic regression model and estimation of model's parameters by maximum likelihood method. Then we propose algorithm for the least squares method. In the goodness-of-fit criteria part we define Lorenz curve, Gini coefficient, C-statistics, Kolmogorov-Smirnov statistics and coefficient of determination R2 . We derive their relation to different sample coefficients of correlation. We derive typical relation between Gini coeffi- cient, Kolmogorov-Smirnov statistics and newly also coefficient of determination R2 via model of normally distributed score of bad and good clients. These derived teoretical results are verified on three real data sets. Keywords: Binary logistic regression, maximum likelihood, ordinary least squa- res, Gini coefficient, coefficient of determination. 1
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