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Application of Statistical Methods in Assessing Selected Indicators of a Company
Hodulíková, Eva ; Dobešová, Romana (referee) ; Doubravský, Karel (advisor)
The diploma thesis deals with the application of statistical methods in assessing selected indicators of the company ABC, Ltd. This work is divided into three parts. The first part explains the terms related to financial indicators, macroeconomic indicators, regression and correlation analysis and also, this part of the work explains the matters of time series. The second part contains an analysis of the current state. Individual analyses of indicators and their predictions are performed in it. Also, there is a research concerning the influence of macroeconomic indicators on the financial performance of ABC, Ltd. In The last part of this diploma thesis, changes are proposed that should lead to the improvement of the current situation of the company.
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Deviations prediction in timetables based on AVL data
Jiráček, Zbyněk ; Martínek, Vladislav (advisor)
Relevant path planning using public transport is limited by reliability of the transportation network. In some cases it turns out that we can plan paths with respect to expected delays and hereby improve the reliability of the resulting path. This study focuses on prediction of the delays in public transport systems using data from vehicle tracking systems -- known as the AVL data. These data are typically collected by the transit operators. Various algorithms are compared using real data from Prague trams tracking system. The study also includes a discussion about a possible utilization of the information gained from the used methods in passenger information systems. Powered by TCPDF (www.tcpdf.org)
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Prediction of graft function development and rejection of transplanted kidney
Wohlfahrtová, Mariana ; Viklický, Ondřej (advisor) ; Zadražil, Josef (referee) ; Reischig, Tomáš (referee)
Improving the short-term results of kidney transplantation did not result in improving the long-term function and survival of kidney allograft. Organ shortage and increasing number of marginal donors remains the key problem in transplant today. The quality of donor organ is critical for graft function development and survival. The aim is to improve understanding to ischemia/reperfusion injury and its consequences, predict delayed graft function and rejection, improve organ allocation strategy and identify patients suitable for safe drug minimization or complete withdrawal of immunosuppressive therapy. Analysis of donor kidneys identified poor tubular cell quality and low survival factor, Netrin-1 expression levels, to be associated with delayed graft function. We confirmed that reperfusion phase of ischemia/reperfusion injury leads to minimal morphological but significant molecular abnormalities. Dissociation observed in histology and molecular pathology finding calls for an integrated approach in donor quality organ evaluation and allocation for transplantation. Significant heterogeneity within donors with expanded criteria was shown and subgroup of organs at low risk of delayed graft function was identified. We suggested donor biopsies to be performed as a routine praxis in all kidneys...
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Methodology for predictive mapping of rare and endangered bryophytes distribution in the Czech Republic
Man, Matěj ; Wild, Jan
The methodology introduced certified procedure of using species distribution modelling to support discovery of new localities with presence of rare species of bryophytes and lichens in Czech Republic. The procedure available for general public, it provides algorithms, computation power and environmental data. User provides training data – coordinates of species presence. From the software interface it is also possible to request the coordinates directly from Database of Lichens and Bryophytes (DaLiBor). Georeferenced map is the output form the software. The aim of the methodology is to provide integrated tool for conservation planning and research to promote the bryological and lichenological field survey in Czech Republic. The methodology will help to focus the survey which could make the survey more efficient and cheaper according to money but also human resources. The methodology is based exclusively on free software, mostly open source and free licence. In the Czech Republic, the methodology provides modern software approach to target botanical research. In national practical nature conservation, it is all new application of established procedure from other fields.\n
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Lightning activity prediction using a numerical weather prediction model
Uhlířová, Iva ; Popová, Jana (advisor) ; Zacharov, Petr (referee)
Lightning activity is considered a severe meteorological hazard that needs to be studied, monitored as well as predicted. This thesis focuses on the prediction of lightning activity by the Lightning Potential Index (LPI) in the COSMO numerical weather prediction (NWP) model that comprises 1- and 2-moment (1M and 2M, respectively) cloud microphysical schemes. The objective of this thesis is to investigate the correlation between the predicted lightning activity and the detected one (by the European network for lightning detection EUCLID). Events of the years 2018 and 2019 that recorded significant lightning activity over Czechia are considered for the analyses. For the first time over Czech region, the prognostic values of LPI calculated for each event are verified. In particular, the spatio- temporal distribution of the predicted vs. detected lightning activity is evaluated. Both spatial characterizations and diurnal course of detected lightning activity correspond well to the theoretical knowledge. Thus, spatial (horizontal) and temporal approaches are applied to verify the lightning activity prediction. The results of this thesis successfully verify the LPI prognostic values both in space by comparing the LPI values with the proximity of detected lightning flashes, and in time by contrasting the...
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The Use of Artificial Intelligence on Stock Market
Kuna, Martin ; Veselý, Karel (referee) ; Dostál, Petr (advisor)
Diplomová práce se zabývá aplikací vybraných metod umělé inteligence v prostředí kapitálových, potažmo akciových, trhů. Konkrétně se zaměřuje na využití umělých neuronových sítí pro predikci trendu a na možnost aplikace genetických algoritmů k řešení problému optimalizace investičního portfolia. Obsahuje návrh řešení uvedených problémů v praxi. Návrhy jsou koncipovány ve formě modelů zpracovaných ve vývojovém prostředí Matlab.
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The analysis of biochemical and hematological data in athletes
Molnárová, Monika ; Korvas, Pavel (referee) ; Chlíbková, Daniela (advisor)
This thesis is focused on patophysiology changes in organism of ultramaraton runners. It analyze the blood parameters idnicating patological changes. It describes the principles of analysis and laboratory testing not only in laboratories, but also in terrain conditions. The thesis includes statistical testing and evaluation of hematological and biochemical parameters indicating severe patologies. With the use of Spearman correlation coefficient are determined the relations between the parameters. The relation between the found parameters are then further analyzed by regression. The goal of the thesis is finding a way to predict biological parameters by using a group of other parameters. In the practical part of the work is described the algorithm for prediction, the network testing results and other ways to improve the prediction algorithm.
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Mixing of Predictors in Parameter Estimation
Podlesna, Yana ; Kárný, Miroslav
This bachelor thesis deals with the design of the method for solving the curse of dimensionality arising in the quantitative modeling of complex interconnected systems. The employed predictive models are based on a discrete Markov process. Prediction is based on estimating model parameters using Bayesian statistics. This work contains method for reducing the amount of data needed for prediction in systems with a large number of occurring states and actions. Instead of estimating a predictor dependent on all parameters, the method assumes the use of several predictors, which arise from estimating parametric models based on dependences on different regressors. The behavioral properties of the proposed method are illustrated by simulation experiments.
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Driver Steering Model for Simulation Algorithms
Tmejová, Tereza ; Zháňal, Lubor (referee) ; Hejtmánek, Petr (advisor)
This diploma thesis deals with the creation of a computation driver model. In the first part, there is an overview on driver models for longitudinal and lateral control. Next, driving maneuvres that could be selected for testing of driver model are described. In the practical part, there is created a computational driver model, whose task is to follow required path. The resulting model is tested on three driving maneuvers - steady turning, moose test and slalom. Finally, this model is tested on the passage of a real track. For all these tracks, a comparison is made and the success of the model is evaluated.
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Prediction of the Effect of Mutation on Protein Solubility
Velecký, Jan ; Martínek, Tomáš (referee) ; Hon, Jiří (advisor)
The goal of the thesis is to create a predictor of the effect of a mutation on protein solubility given its initial 3D structure. Protein solubility prediction is a bioinformatics problem which is still considered unsolved. Especially a prediction using a 3D structure has not gained much attention yet. A relevant knowledge about proteins, protein solubility and existing predictors is included in the text. The principle of the designed predictor is inspired by the Surface Patches article and therefore it also aims to validate the results achieved by its authors. The designed tool uses changes of positive regions of the electric potential above the protein's surface to make a prediction. The tool has been successfully implemented and series of computationally expensive experiments have been performed. It was shown that the electric potential, hence the predictor itself too, can be successfully used just for a limited set of proteins. On top of that, the method used in the article correlates with a much simpler variable - the protein's net charge.
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