National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
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...
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.
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
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