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National Repository of Grey Literature 12 records found  previous11 - 12  jump to record: Search took 0.01 seconds. 
Statistical inference for categorical data analysis
 Kocáb, Jan ; Pecáková, Iva (advisor) ; Coufalová, Petra (referee)
This thesis introduces statistical methods for categorical data. These methods are especially used in social sciences such as sociology, psychology and political science, but their importance has increased also in medical and technical sciences. In the first part there is mentioned statistical inference for a proportion. Here is written about classical, exact and Bayesian methods for estimating and hypothesis testing. If we have a large sample then we can approximate exact distribution by normal distribution but if we have a small sample cannot use this approximation and it is necessary to use discrete distribution which makes inference more complicated. The second part deals with two categorical variables analysis in contingency tables. Here are explained measures of association for 2 x 2 contingency tables such as difference of proportion and odds ratio and also presented how we can test independence in the case of large sample and small one. If we have small sample we are not allowed to use classical chi-squared tests and it is necessary to use alternative methods. This part contains variety of exact tests of independence and Bayesian approach for the 2 x 2 table too. In the end of this part there is written about a table for two dependent samples and we are interested whether two variables give identical results which occurs when marginal proportions are equal. In the last part there are methods used on data and discussed results.
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Investigation of dependence of the housing characteristics and the amenities in the dwelling on the household type
 Čapková, Kateřina ; Řezanková, Hana (advisor) ; Löster, Tomáš (referee)
The aim of the diploma thesis is to provide a comprehensive overview regarding survey of income and living conditions of households in the Czech Republic and propose a feasible approach to the exploitation of the collected data. The diploma thesis describes the framework of the EU-SILC survey and presents its practical implementation in the Czech Republic. A technique utilizing contingency table analysis is proposed for studying asymmetric relationships between selected housing characteristics and amenities in the dwelling with respect to different household types. The analysis is based on the relative frequencies of housing characteristics observed for particular types of households. The frequencies stem from the sample survey of income and living conditions of households carried out in the Czech Republic under the official title of Living Conditions 2008. Asymmetric measures of association for nominal and ordinal variables were used for the description of the relationships as the examined housing characteristics and household types have the character of alternative, nominal or ordinal variables. The analyses show significant relationship of the selected housing characteristics and the amenities in the dwelling on the monitored types of households.
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National Repository of Grey Literature : 12 records found   previous11 - 12  jump to record:
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