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Analysis of difference between HRV parameters gained from PP and RR intervals
Svobodová, Sabina ; Janoušek, Oto (referee) ; Milek, Jakub (advisor)
This bachelor thesis aims to solve problems of ECG signals, respectively detection of QRS complex and P wave, and subsequent analysis of heart rate variability. The first part is focused on literary research. It deals with the heart anatomy, electrocardiography and more detailed description of individual waves, as well as with the pre-processing of ECG signal, QRS complex detection and P wave detection. The last theoretical part describes the analysis of heart rate variability. In the practical part detection of QRS complex, P wave and subsequent analysis of heart rate variability is programmed in MATLAB. Finally, statistical evaluation is performed in STATISTICA.
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Mathematical Methods in Economics
Molnárová, Dominika ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This Bachelor Thesis concentrates on evaluation and comparison of the situation on individual labour markets in European union using mathematical and statistical models. The thesis primarily focuses on the analysis and development of significant economical indexes, such as unemployment rate, GDP and average income. The thesis also targets on providing the relationship between the selected indexes with correlation analysis and finally sorts the mentioned EU countries into similarity ground using the cluster analysis.
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Decomposition and Forecast in Time Series
Šramková, Kristína ; Holec, Tomáš (referee) ; Bednář, Josef (advisor)
Bachelor thesis is focused on statistic methods for analysis and modelling time series. In particular decomposition techniques, which decompose time series into particular components and model trend component to predict future values. First part of thesis is focused on summary of essential knowledge of regression, basic properties of time series and their decomposition models. Hereinafter are discussed models of trend curves. In conclusion the mentioned methods are applied on real data and its modeling in software Statistica.
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Predictive models in survival analysis
Hadwigerová, Michaela ; Vítek, Martin (referee) ; Škutková, Helena (advisor)
With ever-new methods of treatment in health care occures a requierement of comparing these new methods to the old methods in some effective way. This is particularly important for the further development of these methods. However, data that describe these facts could not be processed by normal procedures and therefore was in the field of statistics to create a new kind of methods. They are known as predictive models of survival analysis.
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Water demand in water supply systems
Pikal, Martin ; Tureček, Jan (referee) ; Ručka, Jan (advisor)
Within this diploma thesis were evaluated factors, affecting consumption of drinking water from water supply system. Evaluation of time series of water consumption and chosen factors was performed using tools of mathematical statistics. In the last step was performed a dependence analysis of water consumption using artificial neuron network ANN. Diploma thesis was solved in cooperation with company Vodárenská akciová společnost, PLC and Severomoravské vodovody a kanalizace Ostrava, PCL.
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Modelling and simulation in the field of waste management
Pařízková, Iva ; Popela, Pavel (referee) ; Touš, Michal (advisor)
This bachelor thesis is focused on the application of multilayer perceptron net for modelling the technolgical units of waste-to-energy facility ZEVO Malesice. It was specifically created to model the amount of steam generated in steam-boilers and to quantify the consumpion of steam by an external subject. Firstly, the basics of neuron theory are presented. In the following, a Statistica artificial neural network module is described. This module was used to develop the neural network models. The models appearing in practical section were created with the use of STATISTICA software. Last chapter deals with detailed description of the developed models and their comparison with simple linear and nonlinear regression models. Last but not least, the description of a software providing easy implementation of neural network models into Visual Basic for Application programming language is presented.
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Visualization of Multivariate Statistical Data
Maroušek, Vít ; Pecáková, Iva (advisor) ; Černý, Jindřich (referee)
The thesis deals with the possibilities of visualization of multivariate statistical data. Since this is a very broad area the thesis is divided into four sections, two of which are theoretically and two practically oriented. The first section is devoted to theoretical aspects of data visualization. It contains information about the building blocks of graphs, and how the brain processes graphs in various stages of perception. The second section charts the available chart types that can be used to display data. Selected types of graphs for continuous and discontinuous multidimensional data are described in detail. The third section focuses on available software tools for creating graphs. The section describes several programs, with focus on STATISTICA, R and MS Excel. The knowledge gained in previous chapters was sufficient source of information to perform a graphical analysis of multidimensional continuous and discrete data and using advanced analytical methods in the last section. This analysis is performed separately on the data file with continuous variables and on a data file with discontinuous (categorical) variables.
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A comparison of statistical packages such as SPSS, STATISTICA, and SAS Enterprise Guide.
Torboněnko, Natalja ; Řezanková, Hana (advisor) ; Pecáková, Iva (referee)
The purpose of this bachelor thesis is to compare three statistical software packages when applied to analysis of categorical data. These packages are SPSS, STATISTICA , and SAS Enterprise Guide. They provide a wide variety of statistical and graphical techniques, and enable users to obtain the results of statistical procedures, without requiring programming. The comparison between these packages were based upon some features such as data input, capability to define missing values, value labels, producing a frequency tables (including multiple response), making a bar graphs, descriptive statistics, Binomial test, Chi-square goodness-of-fit test.
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The graphical data analysis in various statistical computing systems
Maroušek, Vít ; Pecáková, Iva (advisor) ; Černý, Jindřich (referee)
Goal of my thesis is to show and compare various ways of graphical data analysis in statistical computing systems. This area is still developing, new techniques are being discovered and the already known are being developed. This work is split into three parts, one theoretical, one comparing and one general with new ideas. The first part is theoretical and is dedicated to classification of statistical variables. For statistical computing systems I offer a simplified classification because of the way they treat some types of variables. Second part of my work compares graphical outputs of three most used statistical computing systems SAS, SPSS and STATISTICA. This comparison is based on some of the most commonly used graphical methods. The outputs are tables with detailed description and examples of graphs from each system are attached. The last part is focused on the general graphical data exploration and follows the simplified classification of variables. In this part I use common graphical techniques and introduce some new or fewer used techniques. Many of them haven't been described in any Czech literature yet. Almost all the graphs presented in this work were created by me in various statistical computing systems. Two were copied from literature because of serious problems with the process of their creation.
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