Multivariate volatility models, such as DCC MGARCH, are estimated under assumption of multivariate normal distribution of random variables, while this assumption have been rejected by empirical evidence. Therefore, the estimated conditional correlation may not explain the whole dependence structure, since under non-normality the linear correlation is only one of the dependency measures. The aim of this thesis is to employ a copula function to the DCC MGARCH model, as copulas are able to link non-normal marginal distributions to create corresponding multivariate joint distribution. The copula-based MGARCH model with uncorrelated dependent errors permits to model conditional cor- relation by DCC-MGARCH and dependence by the copula function, sepa- rately and simultaneously. In other words the model aims to explain addi- tional dependence not captured by traditional DCC MGARCH model due to assumption of normality. In the empirical analysis we apply the model on datasets consisting primarily of stocks of the PX Index and on the pair of S&P500 and NASDAQ100 in order to compare the copula-based MGARCH model to traditional DCC MGARCH in terms of capturing the dependency structure. 1

The paper target is design of a conceptual solution of a two-component light-guide with the use of available materials, commonly used for the production of headlamp components, emphasizing the simplicity of the whole solution. The result will be in production of a prototype and the subsequent testing of its functional parameters using standard equipment for the measurement of photometric quantities.

This master thesis is dealing with application of an artificial neural network for calculating specific volume of steam. There is described type and construction of the needed neural network. The main outcome of this work is an executable programme, which calculates specific volume of steam for given pressure and temperature, using neural nets.

The main objective of my thesis is to work out the financial analysis based on data of final accounts of the trading company FM Tábor, s. r. o. in years 2011, 2014. The theoretical part contains literary interpretation focused on financial management, financial analysis, its objectives, users and resources. There is also detailed description of elementary methods and interpretations of particular indicators. The practical part of the thesis contains basic characteristics of corporation by defining the subject matter and indicating basic economic indicators. This part is followed by the analysis of state and flow values, the analysis of differential values, the analysis of ratio indicators, such as indicators of indebtedness, activity, liquidity, profitability and performance including working out pyramidal breakdown of particular indicators and aggregate models. The last part represents the analysis of the financial position of the corporation and the draft of recommendations useful pro improving the current situation.

The thesis Economic analysis of a chosen company presents economic performance of the trading company ROTAREX PRAHA, group Inc. in years 2008 to 2015. The datas for elaboration were taken from financial statements. The thesis is divided in two basic parts. The first part is theoretical, where are described methods for individual indicators. The second part is practical, which contain characteristic and organization of company structure. This part is followed by the absolute analysis and the analysis of differential values, analysis of ratio indicators, which are indicators of profitability, activity, indebtedness and liquidity. In next part is described Spider analysis and PEST analysis. In thesis conclusion results are evaluated and provide recommendation for future development.

The purpose of this work is to design and implement a device for collecting temperature and humidity from bee hive. The system consists of a measuring unit that contains digital sensors and actuators.The system transmits the measured values wirelessly to the parent unit, which displays the data in a suitable format to the user. The user can monitor the hive parameters and use the actuators to adjust the temperature inside the hive. The whole system then operates autonomously according to defined rules.

The objective of this thesis is a design of a development kit, which is used in laboratories during the lessons of Theory of analog to digital conversion subject. This device is adapted for basic measuring and understanding of digital to analog (D/A) and analog to digital (A/D) converters and contains sigma-delta A/D converter made of basic elements, D/A converter with R-2R resistor net, active low pass frequency filter (Sallen-Key), PWM generator, SAR A/D converter with 16 b resolution, reference voltage source and module for measuring integral and differential nonlinearity of A/D converters. The modules are available connect to each other via jumpers and they are driven by microcontroller. This solution gives various modes of operation, which can be selected by user via buttons. Development kit has five BNC connectors for securing connectivity to an oscilloscope or a signal generator. The device also contains universal serial bus connectivity for use with personal computer or laptop, which is really useful with Matlab software for automation processing of measuring.

This thesis concentrates on the design of crank-type mechanism of engine with elongated expansion. The main attention is paid to examination of the progress of kinematic quantities and inertial forces in mechanism. Further on in the thesis, the analysis of piston-rod stress is carried out and is compared to the piston-rod of standard engine. In the last part of the thesis, there is an evaluation of advantages and disadvantages of the proposed mechanism solution.

The aim of this master´s thesis is to evaluate the real value of the apartment building and to apply the attributes of the system approach for all operations associated with that particular evaluation. The thesis is mainly focused on the creation of the essential system parameters and the aplication of system methodology on solution of specific expert opinion. As a sample for aplication of system aproach for processing expert opinion was used real estate in Brno-Židenice, on which was used evaluation according to assignment.

This doctoral thesis is focused in connection of measurement with a model in this meaning. Only relative easier measurable variables are measured on a vehicle and these variables make model inputs. This process can be improved by using dynamic filtering principles, where measured variables are used not only as model inputs, but they are used for the correction of a model motion too. We can obtain an optimal estimate of vehicle real behaviour during a manoeuvre with using this method. Linear discrete Kalman filter (dynamic filter) was used for the connection of the measurement with the mathematic model with regard to chosen model (planar linear single track model). The main task of Kalman filter is try to estimate the state of the discrete time depending process that is determined by the linear stochastic difference equation. Effective measurement system (based on CompactRIO unit) was built within the scope of this PhD thesis. This system is able to measure simultaneously a lot of quantities on the experimental vehicle. Velocity components (measured through optical correlative sensor Correvit), yaw velocity (measured through vibrating gyroscope), lateral acceleration, distance component (measured through MicrosatGPS system) are the basic measured parameters. Big attention was paid to obtain other important inputs of the mathematic model such centre of gravity position, moment of inertia, steering ratio etc. The last part of the thesis is oriented on the real connection of the measurement with the mathematic model. Formula Ford 1600 was used as the experimental car. The driving manoeuvre was arranged according to the norm ISO/WD 3888/2. Three versions of the Kalman filter were realised, which differs in the measured variables used for the mathematical model motion correction. Other possibilities, how to improve the process of state variables estimation eventually how to effective use this algorithm for vehicle parameters identification (cornering stiffness of the tires for example), are sketched in the end of the thesis.