This work deals with strain analysis of tree during felling. The main goal is to describe the origin of the deformation field. Another aim is to explain the effect of individual cuts on the size of deformation forces. Two relatively new methods in the field of wood are used to investigate the experimentally, namely digital image correlation (DIC) and finite element method. The work deals with methodical foundations for tree research during its felling. The DIC method measured seven trees in the forest when felling. Using the results obtained by this experiment, the numerical model was validated. This comparison suggested higher rigidity of the body using the finite element method compared to the actual tree, but the reaction was similar. With respect to the higher stiffness, the model was used to describe the deformation field inside the tree and to describe the effect of each cut on this field. The thesis also draws attention to the methodological errors that can occur during felling and which have been described in the experiment. Another output is an indication of the direction in which further measurements should be made and the errors that occurred during this measurement to avoid repetition.

Thesis on "Climate Impact on the Terms of Phenological Phases of Selected Animal Species" examines climate change and its impact on the shift of phenological terms of selected birds population in a long-term period. It also examines the interdependence between phenological terms of selected bird species. Finally, it also focuses on the relationship between managed (fruit trees) and unmanaged ecosystems (bird species). The study is based on the data which were monitored at three sites in southern Moravia during the years 1961 - 2012. The data were compared between each other in time series. The results show a significant increase of temperature in the monitored period with an evident impact on the earlier onset of selected phenological terms. Similarly, the relationship between the individual phenological dates of managed and unmanaged ecosystem is also evident.

The aim of the thesis is to reveal the relationship between stock indices and GDP of selected countries. The theoretical part explains the concepts of financial mar-kets, the essence of a functioning of public limited companies and earlier studies dealing with this theme are also included. The practical part is focused on an ac-tual relationship between the variables, both in terms of its existence, its strength and direction. To reveal the relationship between variables and its strength, the correlation analysis is used. Then In case of direction of this relationship a multivariate time series analysis is used in a form of the VAR model using Granger causality.

Title: Objectification and degree of association between indicators of game load and movement assumptions in elite rugby players Objectives: The aim was to objectify and measure the association between selected indicators of game load and selected movement assumptions in elite rugby players and measure the association between selected results of different fitness tests. Methods: The research group consisted of 31 players of the Czech rugby team of the senior category. Data were acquired using GPSports. The results from fitness testing provided by the Czech Rugby Union were used as indicators of movement assumptions. In total, three matches were measured. During the individual matches, the total distance covered was measured, the distance covered in individual speed zones (1st zone 0.0-1.8 km/h, 2nd zone 1.8-6.1 km/h, 3rd zone 6, 1-13.0 km/h, 4th zone 13.0-18.0 km/h, 5th zone 18.0-24.1 km/h, zone 6th >24.1 km/h), number of inputs to individual acceleration and deceleration zones (1st zone 1.2- 2.4 m/s/s, 2nd zone 2.4-3.6 m/s/s, 3rd zone 3.6-4.8 m/s/s). Results: The results of the work contain data that are unparalleled in Czech conditions. Tight forwards run 70.50 ± 7.09 m/min lose forwards 73.89 ± 4.25 m/min, inside backs 81.70 ± 11.71 m/min and outside backs 82.82 ± 12.71 m/min. In one match,...

The objective of the thesis is to examine interdependencies among the stock markets of the Czech Republic, Hungary, Poland and Germany in the period 2008-2010. Two main methods are applied in the analysis. The first method is based on the use of high-frequency data and consists in the computation of realized correlations, which are then modeled using the heterogeneous autoregressive (HAR) model. In addition, we employ realized bipower correlations, which should be robust to the presence of jumps in prices. The second method involves modeling of correlations by means of the Dynamic Conditional Correlation GARCH (DCC-GARCH) model, which is applied to daily data. The results indicate that when high-frequency data are used, the correlations are biased towards zero (the so-called "Epps effect"). We also find quite significant differences between the dynamics of the correlations from the DCC-GARCH models and those of the realized correlations. Finally, we show that accuracy of the forecasts of correlations can be improved by combining results obtained from different models (HAR models for realized correlations, HAR models for realized bipower correlations, DCC-GARCH models).

This thesis examines a multivariate point process in time with focus on a mu- tual relations of its marginal point processes. The first chapter acquaints the re- ader with the theoretical background of multivariate point processes and their properties, especially the higher-order cumulant-correlation measures. Later on, several models of multivariate point processes with different dependence structu- res are characterized, such as the random superposition model, a Poisson depen- dent superposition point process, a jitter Poisson dependent superposition point process orrenewal processes models. Simulations of each of them are provided. Furthermore, two statistical methods for higher-order correlations are presented; the cumulant based inference of higher-order correlations, and the extended til- ling coefficient. Finally, the introduced methods are applied not only on the data from simulations, but also on the real, simultaneously recorded nerve cells spike train data. The results are discussed. 1

The subject of this thesis is perceptual sensitivity with respect to subtle frequency-based and temporal manipulations in speech, music and mixed stimuli. We hypothesize that an individual's sensitivity to variation in all three types of stimuli should be similar (i.e. a correlation should exist), seeing that findings in evolutionary biology, neurosciences, psy- chology and experimental phonetics are pointing towards a relatively strong link between the mechanisms of perception in speech and music. Our listening experiment revealed mostly intermediate correlations; additionally, we argue that by employing syntactically less complicated stimuli, which would target specifically fundamental sensitivity without requiring a complex syntactic analysis in parallel, even more robust correlations could be obtained. While the influence of prior formal linguistic education on performance in the test was negligible, the influence of musical experience was considerable, which lends further support to the idea of simplifying especially the music stimuli in future research. Key words: music, speech, perception, sensitivity, correlation

This thesis examines an impact of high frequency trading on equity market qualities. As an indicator of market quality, stock prices realized volatility is used. To estimate the high frequency trading activity, we implement a special method of identification of high frequency orders from quote data. Study of relation between high frequency trading and market qualities is incited by growing concerns about the welfare impacts of high frequency trading and connected activities. In order to test the dependence and causality between high frequency trading activity and volatility, we implement time-scale estimation techniques. Wavelet coherence is used to study localized dependence. The analysis is amended by a robustness check, using wavelet correlation. Results show inconsistent dependence at short trading horizons and regions of significant continuous dependence at trading horizons within hours. Powered by TCPDF (www.tcpdf.org)

Counterparty credit risk is an important type of financial risk. The importance of proper counterparty risk management became most apparent in the wake of the 2008 series of failures of several large banks. Correlation of market factors is an important issue in the calculation of CVA. A notable case of correlation is wrong-way risk which occurs whenever the probability of default of the counterparty is positively correlated with exposure. The basic formulas for CVA and basic counterparty credit risk models do not account for wrong-way risk because its modeling is nontrivial. This thesis aims to answer how well can the impact of wrong-way risk on CVA be approximated with an add-on which only depends on correlation between the price of the underlying asset and the credit spread of the counterparty. The thesis is supplemented by a fully documented implementation of the model in the Mathematica software.

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.