The diploma thesis evaluates the economic situation of the company Niveko s.r.o. in between years 2011 to 2018. The theoretical part describes financial indicators, time series, regression and correlation analysis. The analytical part contains calculations of financial indicators, some of which are selected for statistical analysis, which is used to determine the expected development of indicators in the next two years or to reveal the dependence between selected indicators. The last part contains suggestions for improving the current economic situation of the company.

Master’s thesis is aimed at assessing the selected financial indicators of the company using statistical methods. Based on the results, the current situation of the company is evaluated. The thesis consists of three parts. The first part contains the necessary theoretical bases for processing the analytical part. The second part is devoted to the analysis of selected indicators, which are then applied statistical methods to the prediction of the future development of these indicators and findings, here between these indicators there is a dependence. At the end of this part, there is an evaluation of the analyzed indicators. The third part presents appropriate proposals for solutions to existing problems caused by indicators that deviate from the recommended values.

In the Czech Republic, there is currently no objective method to diagnose graphomotor difficulties in children. Ongoing research uses modern digitizers to capture the hand-writing process and quantify its parameters. The first goal of this thesis is to develop software tools to faciliate work with the collected data, such as database validation and writing exercise rating, done by specialists. Another goal of this thesis is to design new on-line handwriting parameters which are then to be analysed on a cohort of school children from 2nd to 4th class of primary school (n=239). The implementation of two desktop programs on the .NET platform is described, among three new quantifying parameters based on the principles of isochrony, two-dimensional cross-correlation, and geometrical centroid. All three parameters show significant correlation (r = [0,2; 0,3])with the HPSQ-C rating in 2nd- and 4th-graders and correlation (𝜌= [0,2; 0,5]) with specialist’s subjective scores in all children from the cohort. The analysis suggests children with graphomotor difficulties struggle with regulating handwriting speed and working memory.

This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.

Master's thesis deals with the assessment of financial performance of the company ČSAD Kyjov Logistics a.s. The theoretical part explains the theoretical basis of financial analysis, regression analysis, the issue of time series, correlation analysis and benchmarking. In the practical part contains the results of the financial analysis, some of which are subjected to statistical analysis, which analyzes the dependencies between indicators and their development for the next two seasons. The Company is also compared with two competing companies and are given suggestions to improve business performance.

The master’s thesis deals with the evaluation of financial efficiency of the company Bučovice Tools, a.s. using statistical methods. The theoretical part describes financial analysis, time series analysis, regression analysis and correlation analysis. In the practical part, the selected indicators of financial analysis are subjected to statistical analysis to detect dependence between indicators and to determine the prediction of the future development. Based on the financial results, the company is compared with a chosen company and with average indicators of the industry and are designed possibilities to improve the economic situation.

Algorithms of sensorless control of surface permanent magnet synchronous motors are discussed in the dissertation thesis. A method for position and speed estimation in high-speed region based on model reference adaptive system is described. Furthermore, classical approach using Kalman filtering was verified. Kalman filter expected the rotor speed to be constant as a modification of model using variable speed approach. These algorithms are not able to work at low speed region, thus a new method was proposed. This method is designed on extended Kalman filtering and uses the model which describes the stator inductance changes in - coordinates. At motor start, knowledge of initial rotor setup is required. The algorithm for initial rotor angle using high frequencies injected into the motor was proposed.

The master’s thesis deals with the assessment of the financial performance of the company using statistical methods. The theoretical part describes the issues necessary for the practical part, financial indicators, time series, regression analysis and correlation analysis. In the practical part of the work is a calculation of selected financial indicators, then statistical methods are used to predict future developments and to detect dependencies between the indexes. The last section contains suggestions for improving the current situation.

Master's thesis deals with the assessment of selected financial indicators of the production company X in order to evaluate its performance and financial situation. Based on the results of the analyzes for the period 2008 to 2015 and the application of statistical methods of time series analysis and regression analysis, prognosis of future development of monitored indicators are obtained. Subsequently, the prognosis are used for the final formulating of proposals to improve future business efficiency of the company.

Title: Correlation properties of magnetosheath fluctuations Author: Olga Gutynska Department: Department of Surface and Plasma Science Supervisor: Prof. RNDr. Jana Šafránková, DrSc. e-mail address: Jana.Safrankova@mff.cuni.cz Abstract: This thesis deals with fluctuations of the magnetic field (MF) and plasma density in different magnetosheath locations. The statistical study of the correlation length of these quantities has shown that these lengths are surprisingly low for both the ion flux and MF (approx. 1 RE). However, the correlation length increases with an increasing correlation between the magnetosheath and interplanetary magnetic fields (IMF). Further, we have found that the correlation length of MF fluctuations depends on the solar wind speed, on a correlation between IMF and magnetosheath MF fluctua- tions, and on the amplitude of fluctuations. The statistical study of radial profiles of cross-correlations between MF and plasma density at the subsolar and flank regions based on Cluster and THEMIS magnetosheath observa- tions revealed better correlations toward the magnetopause. A study of the modification of the IMF direction in the magnetosheath has shown that a reliable prediction of the magnetosheath BZ sign requires |IMF BZ| > 2 nT and that this prediction is more precise during solar minimum....