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Interactive software tools for teaching signal processing
Pacas, Ondrej ; Rajmic, Pavel (referee) ; Mangová, Marie (advisor)
This thesis deals with creation of four interactive applications for educational purposes in the field of digital signal processing. The goal of this work is to create four applications which will visually interpretate each of the methods of signal processing. This involves applications for linear regression and least squares method, interpolation and signal reconstruction from its samples, discrete linear convolution and discrete cross-correlation. Applications are created using JavaScript programming language.
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Analýza vybraných faktorů regionálního rozvoje
Kučera, David
The aim of this thesis is to analyze the impact of the companies, located in the de-fined area, on the development of this area (region), focusing on the factor of in-dustry structure and companies size. Impact of companies size is studied on socioeconomic indicators: GDP, unemployment and average salary. SMEs have been identified as an important factor for regional development. In order to make specific provision in terms of regional policies were created clusters based on the similarity of regions. Further was studied the development of sectors over time in terms of GDP and the number of people employed in South Moravian Region. Analysis of dependency and concentration were performed. The work includes assessment of business environment, which were evaluated by using the proposed model. An applied model showed that the best environment for business is in the Moravian-Silesian Region.
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Robust regression - outlier detection
Hradilová, Lenka ; Blatná, Dagmar (advisor) ; Černý, Jindřich (referee)
This master thesis is focused on methods of outlier detection. The aim of this work is to assess the suitability of using robust methods on real data of EKO-KOM, a.s. The first part of the thesis provides an overview and a theoretical treatise on classic and robust methods of outlier detection. These methods are subsequently applied to the obtained data file of EKO-KOM, a.s. in the practical part of the thesis. At the conclusion of the thesis, there are recommendations about suitability of methods, which are based on comparison of classical and robust methods.
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Analysis of occurrence of extremal values in time and space
Starý, Ladislav ; Volf, Petr (advisor) ; Dvořák, Jiří (referee)
This thesis describes and compares methods for statistical modeling of spatio- temporal data. Methods are extended by examples and numerical studies on real world data. Basic point of interest is statistical analysis of spatial data with unknown correlation structure and known position in space. Further analysis is focused on spatial data with temporal component - spatio-temporal data. Fi- nally, extremal values and their occurrences are discussed. The main aspiration of my thesis is to provide statistical tools for spatio-temporal data and analysis of extremal values of prediction. 1
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Zobecněné lineární a aditivní modely v pojišťovnictví
Rusnák, Peter ; Branda, Martin (advisor) ; Pešta, Michal (referee)
In this thesis we describe the theory of generalized linear models and demon- strate its applications in non-life insurance. We also introduce some methods com- monly used to estimation of regression parameters and hypothesis testing . Further- more, we discuss possible extensions of GLM by introducing tools for reparametriza- tion of predictors which leads to new classes of models, concretely to segmented generalized linear models and generalized additive models. Consequently, we derive models appropriate for actuarial praxis using the real insurance data. In practical part of this thesis we illustrate the use of appropriate software for calculating the parameters of GAM and find way how to use open source statistical program .
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Regression methods in statistical software
Volchenkova, Irina ; Legát, David (advisor) ; Antoch, Jaromír (referee)
b;g;igpiipu.txt[24.05.2013 12:17:27] Title: Regression methods in statistical software Author: Irina Volchenkova Department: Department of Probability and Mathematical Statistics Supervisor: Mgr. David Legát, Ph.D., Department of Probability and Mathematical Statistics Abstract: Regression analysis is a useful instrument for data mining. This thesis contains detailed information about linear regression especially about the mean least squares method. The theoretical part is divided into two parts: general theoretical introduction of the first part explains parameters, abilities and usage of mean least squares method; several algorithms for numerical solving of linear equation systems. Three ordinally used statistical softwares are described in the last part of the diploma thesis: MatLab, software R, SPSS. These softwares were chosen to represent the whole spectrum of all existed statistical programs. Keywords: regression analysis, linear regression, regression, least mean squares method, statistical softwares.
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Correlation analysis among the distribution of forest vegetation zones, selected climatological parameters and actual vegetation status in Hostýn-Vsetín Mountains subregion of natural forest region 41
Pšenko, Martin ; Černý, Tomáš (advisor) ; Ulbrichová, Iva (referee)
Hostýnské mountains are part of the most frequently visited forests in Moravia. Whether because of the numerous cottage and recreational areas with abundant occurrence of fungi, these forests were subject to great anthropogenic influence since its origin. Therefore, it was created on the territory of several protected areas and nature reserves, which were designed to preserve the natural vegetation potential of local vegetation and protection of rare species of local phytomass and zoomass. The goal of this thesis is the verification of the respective forest vegetation zones of the investigated plots, which had been historically assigned in several respects. In the past, namely the allocation of forest vegetation zone was entirely an empirical matter, which scientists have not been able to verify the correctness of his judgment by means of statistical analysis, as is the case nowadays. The plots were therefore selected to characterize best the local conditions, whether in terms of species composition of vegetation or climatic conditions. On the 20 selected plots there were collected data within individual tree layers (based on Kraft-Zlatník scale), species composition and level of development of individual trees by circuits measured at breast height and height measurements according to average individuals. As additional data for the overall evaluation were used climatological maps using GIS software creating a mosaics from which it can be acknowledged how much of the forest stands is affected by abiotic factors such as the length of the snow or the average air temperature. The data assembling the complete image of the plot characteristics were subsequently analysed by regression and multivariete statistical analysis. The obtained results show the context between the actual stage of the forest stands and the used climatic parameters. I believe that this work could be a model for those who do not rely on empiricallly-derived forestry maps and admit that the overall climate in our country is changing and evolving. It is therefore important to consider these causes not only for the purposes of forest management, but also for the protection of existing vegetation.
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Commercialization in Microfinance
Švenka, David ; Chytilová, Julie (advisor) ; Kracík, Jiří (referee)
This thesis is focused on commercialization in microfinance. Particularly on one of its possible negative impacts - the mission drift. Microfinance could be described as a useful financial tool that makes it possible to provide banking services, usually small loans and deposits, to rural poor people who live in places where it is hard to access the traditional banking sector. Commercialization of microfinance institutions means that the MFIs seek for commercial ways of funding. This usually happens when, for instance, some of the microfinance NGOs transforms into regulated commercial entity. Mission drift is then a situation when the microfinance institutions (MFIs) commercialize and abandon some of their poorest clients in order to pursuit some non-social goal such as sustainability or profitability. Therefore the MFIs drift from their original mission which is usually to fight the poverty. So far, there has not been conducted a lot of research on this topic. Furthermore, neither the microfinance experts agree with each other about the existence of mission drift. Therefore the main goal of this thesis is to closer inspect the mission drift on data from the MIX database. To do this we have used the regression analysis, combined with analysis of historical performance of the observed MFIs.
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