|
| |
|
|
Recent Czech translations of children's poetry in English
Hron, Jiří ; Šťastná, Zuzana (advisor) ; Tobrmanová, Šárka (referee)
The thesis deals with recent Czech translations of children's poetry in English and their addressees. In the first part, we describe the terminological issues related to the terms dětská literatura and dětská poezie (and their English equivalents), focus on the specific features of children's poetry and the process of translating children's literature, and finally outline the history of children's poetry in the Czech lands, the United Kingdom and the USA. In the second part, we compare target texts with their source texts in terms of content (proper nouns, puns etc.) and form (rhythm, rhyme etc.), thereby showing the strategies the translators used. Finally, we also comment on the issues pertaining to the publishing of children's literature and describe the origination of the Czech translation of Shel Silverstein's A Light in the Attic. Keywords: children's literature, children's poetry, translation, translation analysis, Shel Silverstein, Robert Browning, Robert Louis Stevenson, Alexander Milne, Thomas Stearns Eliot, Lewis Carroll, Norman Lindsay
|
|
| |
|
| |
|
|
Analýza dat týkajících se risku sebevraždy u mentálně nemocných
Hron, Jiří ; Rauch, Jan (advisor) ; Malá, Ivana (referee)
The three goals of this thesis are to present a coherent overview of the research on suicide in both the general population and among mentally ill, to analyse records of hospitalisations of mentally ill from years 2006 to 2012 while looking for patterns either leading to identification of suicide risk factors or useful for predicting probability of suicide at the time of discharge, and finally to compare a selected subset of statistical, data mining and machine learning methods in relation to their applicability to the second goal. The overview is based on information from over 40 published articles. The analysis and the comparison make use of associative rules mining, visual and stepwise methods for exploration, standard and conditional logistic regression models for inference, and variations of random forests for prediction. To the best of author's knowledge, none of the three goals was previously pursued by any other researcher in the Czech Republic, certainly not using the data set provided for purposes of this thesis. A new modification of random forest combined with a set of logistic regression in order to refine prediction accuracy is also briefly explored. The structure closely follows the above--stated goals starting from the chapters on related work and on the theoretical basis of the methods used, and concluding by the analysis itself and discussion of its results.
|
|
|
Analýza rizik a oceňování energetických retailových kontraktů
Hron, Jiří ; Marek, Luboš (advisor) ; Málek, Jiří (referee) ; Krtička, Jiří (referee)
The presented dissertation is focused on the applications of statistical methods and ap-proaches applied in the energy business. The need for the modeling of energy risks arose only recently when the energy business was opened to competition. Therefore, the prima-ry aim of the dissertation is to clarify the main principles of the energy business which are necessary for understanding both risk principles and motivation of the proposed models. I am largely focused on retail risks, i.e., the risks associated with delivery to end-consumers. In particular, I deal with energy contracts providing volume flexibility, recalled as swing options in the literature. Therefore, the second issue on which I am focusing is a group of demand-driven swing options whose more systematic analysis in the portfolio context has not been published so far. Examining the risk, I apply the deductive (probabil-istic) analysis which reveals interesting relations between correlations. The practical ap-plications also require inductive considerations resulting in the construction of statistical estimators relying on historical data. I propose an estimator of the volumetric correlation based on a classical theory whose bias is investigated via MC simulation. To analyze a par-ticular volume-price correlation, I introduced the notion of robust dependency. Applying bootstrap procedures, robust dependency can be used both for testing purposes and for sensitivity analysis of the sample correlation. There are many works available devoted to energy price models which are different from the price models applied on financial markets. Therefore, the third target of the dis-sertation is an empirical statistical analysis of both power and natural gas Czech spot pric-es which can serve as a basis for the development of price models adapted to the Czech market environment. Finally, the fourth aim is the evaluation of power contracts which is very specific. The outputs of the model are both a synthetic market price and a hedging strategy. The model is designed to provide flexibility in practical applications.
|
guest ::
RSS feed.