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Fruit and vegetable intake and self-rated health in the Czech republic: the HAPIEE study
Hrežová, Eliška ; Pikhart, Hynek (advisor) ; Lustigová, Michala (referee)
This thesis deals with self-rated health and consumption of fruits and vegetables in the Czech part of the HAPIEE study. The recommended amount of 400 g of fruit and vegetable consumption was met at 49,2% of men and 70,1% of women participating in the study. In the case of a higher 600 g recommendation it was 23,3% men and 42,6% women. The relationship between self-rated health and fruit and vegetable consumption was analyzed using the logistic regression method. Health was better assessed by those who consumed fruits and vegetables in the interval of 258-549g (2nd and 3rd quintiles of fruit and vegetable consumption). Those who consumed less or more fruits and vegetables rated their health worse. There were no differences in the relationship between self-rated health and consumption of fruits and vegetables among the sexes, although men had a higher chance of rating their health as bad than women. Key words: self rated health, fruit and vegetable intake, fruit, vegetable, regression
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Modelling mortality by causes of death
Valter, Boris ; Mazurová, Lucie (advisor) ; Hurt, Jan (referee)
The aim of this thesis is to provide an overview of methods used in cause-of-death mortality analysis and to demonstrate the application on real data. In Chapter 1 we present the continuous model based on the force of mortality and review the approach using copula functions. In Chapter 2 we focus on the multinomial logit model formulated for cause-specific mortality data, discuss life tables construction and derive life expectancy. In Chapter 3 we apply the multinomial logit model on the data from Czech Statistical Office. We identify the regression model, check its assumptions, present the outputs including the fitted life expectancy, and predicted mortality rates. Later in Chapter 3 we consider several stress scenarios in order to demonstrate the impact of shocked mortality rates on the life expectancy.
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Predictive Modelling with Python
Duda, Jan ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
The main goal of this bachelor thesis is get to know with the data mining and its domain, also with the Knowledge discovery in databases process. It shows the most importnant approaches, which are implemented in Python language afterwards. The case study contains the prediction of index S&P 500 describing stock market developments on the US stock exchange. Both classification and regression models are used for the forecasting. Model evaluation is reached by the Monte Carlo experimental method.
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Location Aware Analytics in the Context of Mobile Network Performance Optimization
Urbanová, Lucie ; Miloš, Jiří (referee) ; Slanina, Martin (advisor)
Předmětem této práce je polohově orientovaná analýza v kontextu optimalizace mobilních sítí. Popisuje nástroj pro odhadování základních parametrů sítě na místech s neznámými parametry sítě na základě databáze RTR NetTest. Je zde stručně představena oblast velkých dat, strojového učení a shrnutí o konceptu a funkcionalitě aplikace NetTest. Práce ukazuje a porovnává skupinu regresních metod na základě jejich komplexnosti a vhodnosti pro vytvoření map odhadovaných parametrů sítě. Po jejich důkladné 1D analýze je IDW a GPR analyzováno ve 2D a využito pro vytvoření skupiny map odhadu parametrů sítě. Je posouzena i jejich přesnost na základě referenčního měření aplikací NetTest.
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Statistical analyzes of fires in the natural environment during the period 2008 - 2017 in the South Bohemian Region
ŠVEHLA, Oto
The aim of the work was to perform a statistical analisys of fires in the declared II. the degree of fire alarm (based on selected parameters "damage", "protected value", "direct cost") and in carrying out a systematic analisys of the economic aspects of fire exits in declared II. fire alarm level. The first objective (statistical analisys) was fulfilled by the verification of partial hypotheses H21 to H24, which were created by dividing the H2 hypothesis (the division of the H2 hypothesis into partial hypotheses was generated by defining the current state of the solved problem). The second objective (systemic analisys of economic aspects) was fulfilled by the verification of the H1 hypothesis, on the basis of the algorithm of economic aspects of exits to the outdoor fires, it was possible to quantify the direct exit costs. The hypotheses and their verification were as follows: H1: On the basis of equipment, deployment of forces and means at the exit of the unit, it will be possible to develop a table algorithm for calculating the detailed price of exit costs The assumption of the hypothesis can be illustrated by the relationship for the calculation of direct costs: Xpn =((V Sv)/100) Xphm+(Sm Mth) Xphm+(Xtc Xo)Xpm H2: The selected unit exit parameters will be regression in the selected period and correlation relationship H21 Regression and correlation results can be expected by examining the amount of damage related to individual fires in the period under review, indicating a significant role of lower and medium damage (accepting the hypothesis as evidenced by the shape of the regression line) H22 Investigating the values of values saved in relation to individual fires a regression and correlation result can be expected in the period under review, indicating a significant role of the lower and middle value saved (the hypothesis is supported by the shape of the regression line) H23 Regression and correlation results can be expected by examining the amount of direct costs in relation to individual fires in the period under review, indicating a significant role for direct costs of lower and medium costs (hypothesis assumed by the shape of the regression line) H24 Due to the choice of only three parameters of the examined outdoor fires regression and correlation results between pairs of statistical traits can be expected only at the level of very weak positive or negative correlation in the monitored period (acceptance of the hypothesis is evidenced by the shape of the regression line (the hypothesis is confirmed by defining weak positive and negative correlations, often the results were close to non-correlation) The thesis has theoretical benefits (eg operability of two-dimensional regression and correlations made without scaling and scaling) and practical (defining the formula for calculating direct costs). It was also proposed to continue with follow-up research - to use homogenized sets of fires (harvesting fire, harvested field fires, fodder fires and forest fires) for research, eg on a nationwide scale.
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Analysis of selected chemical parameters of Temelín Nuclear Power Plant primary circuit coolant
ŘEHÁČEK, Martin
The aim of the thesis was to define the meaning of radiochemical processes which take place in coolant of the primary circuit of the Nuclear Power Plant; and to describe the way of measurement of chemical parameters. The second aim was to define the significance of dissolved hydrogen to compensate for corrosion-threatening corrosion-safe operation of plant and to describe the method of generating hydrogen by ammonia. The third aim was to investigate the time courses of ammonia and hydrogen concentrations within the two production units. The last aim was to investigate unilateral dependence between ammonia and hydrogen concentrations. The first two aims were met by using system analysis of coolant chemical parameters, methods of measuring them, and ongoing radiochemical processes in the coolant. Ammonia and hydrogen were selected for deeper investigation, because of the results of the analysis. H1, H2 and H3 hypotheses have been formulated to meet the other two aims. The H1 hypothesis was used to verify the empirical distribution of ammonia and hydrogen concentration measurements by non-parametric normality testing. Hypothesis H2 investigated the time dependence of ammonia and hydrogen concentrations by regression analysis. In case of verification of H3 hypothesis the method of regression and correlation dependency was used. The verifying of hypothesis has shown that the empirical distribution of the measurement of hydrogen and ammonia concentrations is more closely related to the theoretical normal distribution. Furthermore, it was verified that the linear regression function of the time dependence of ammonia and hydrogen concentration measurements is close to the parallel to the timeline during the fuel campaign. Linear regression and correlation analysis confirmed that the correlation between hydrogen and ammonia concentrations is similar on both blocks and close to strong positive correlation. Verification of required regressive and correlative bending between ammonia and generated hydrogen can be understood as a practical contribution.
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A Library for Convolutional Neural Network Design
Rek, Petr ; Mrázek, Vojtěch (referee) ; Sekanina, Lukáš (advisor)
In this diploma thesis, the reader is introduced to artificial neural networks and convolutional neural networks. Based on that, the design and implementation of a new library for convolutional neural networks is described. The library is then evaluated on widely used datasets and compared to other publicly available libraries. The added benefit of the library, that makes it unique, is its independence on data types. Each layer may contain up to three independent data types - for weights, for inference and for training. For the purpose of evaluating this feature, a data type with fixed point representation is also part of the library. The effects of this representation on trained net accuracy are put to a test.
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Data Mining in Small Business
Sabovčik, František ; Burgetová, Ivana (referee) ; Zendulka, Jaroslav (advisor)
Tato práce si klade za cíl vyhodnotit techniky získávání znalostí pro využití v prostředí malého podnikání. Po prozkoumání dat a konzultace s doménovymi experty byly vybrány dvě úlohy: analyza nákupního košíku a predikce prodejů. Pro analyzu nákupního košíku byl využit algoritmus Relim pro vyhledávání častych itemsetů a metriky určující zajímavost asociačních pravidel. Pro úlohu predikce prodejů byl implementován dekompoziční model, SARIMA, MARS a neuronové sítě s časovym oknem. Modely byly vyhodnoceny. Pomocí optimalizace hyper-parametrů bylo dosaženo přijatelnych vysledků. Oproti předpokladům nedošlo při dodání dat o počasí a využití nelineárních modelů ke zlepšení oproti SARIMA. Predikce byla implementována jako služba na straně serveru pro testování v produkčním prostředí.
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Correlation of evaluation criteria of non-investment programs of the Ministry of Education, Youth and Sports on the example of Czech Badminton Union
Krejčová, Lucie ; Šíma, Jan (advisor) ; Ruda, Tomáš (referee)
Title: Correlation of evaluation criteria of non-investment programs of the Ministry of Education, Youth and Sports on the example of Czech Badminton Union Objectives: The aim of this work is to determine the degree of dependence of the evaluation criteria of national sports associations on the amount of funds received from the non-investment programs of the Ministry of Education, Youth and Sports. Methods: In this thesis was used a method of analysis of secondary data, namely documents issued by the Ministry of Education, Youth and Sports and the Czech Badminton Union. For the calculations in the practical part of this thesis was used correlation and regression analysis. The MS Office Excel tools were used to determine the correlation coefficients - Regression function and then the Solver function to predict model situations. Results: For all the evaluation criteria surveyed in this thesis, the positive dependence to income of Czech Badminton Union was confirmed. The increase in the membership base, the number of national team players or the number of players included in regional youth training centres cause the increase of volume of financial contributions received from the non-investment programs of the Ministry of Education, Youth and Sports. The most significant value was measured by the...
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