221 research outputs found
Criminal Proceedings against Legal persons
No full textChovanec, Š. Criminal proceedings against legal entities Criminal proceedings against legal entities represent a significant innovation for Czech criminal procedure law. Adoption of Act nř 418/2011, about Criminal liability of legal entities and criminal proceedings against them, is considered as acceptance of the world's phenomenon of enactment of the institute of Criminal liability of legal entities. The lawmaker had chosen a special regulation for criminal proceedings against legal entities which however does not describe the issues solely. So the Penal Code is considered subsidiary applicable regardless it does regulate criminal proceedings against a natural person. The author of this text deals with risks and potential problems connected to this construct. The author of this text describes selected aspects of criminal proceedings against legal entities from its beginning to the enforcement proceeding
Random Processes in Reliability Analysis
No full textTitle: Random Processes in Reliability Analysis Author: Kamil Chovanec Department: Department of Probability and Mathematical Statistics Supervisor: Doc. Petr Volf, CSc. Supervisor's e-mail address: [email protected] Abstract: The thesis is aimed at the reliability analysis with special em- phasis at the Aalen additive model. The result of hypothesis testing in the reliability analysis is often a process that converges to a Gaussian martingale under the null hypothesis. We can estimate the variance of the martingale using a uniformly consistent estimator. The result of this estimation is a new hypothesis about the process resulting from the original hypothesis. There are several ways to test for this hypothesis. The thesis presents some of these tests and compares their power for various models and sample sizes using Monte Carlo simulations. In a special case we derive a point that maximizes the asymptotic power of two of the tests. Keywords: Martingale, Aalen's additive model, hazard function
Náhodné procesy v analýze spolehlivosti
No full textNázev práce: Náhodné procesy v analýze spolehlivosti Autor: Kamil Chovanec Katedra: Katedra pravděpodobnosti a matematické statistiky Vedoucí diplomové práce: Doc. Petr Volf, CSc. e-mail vedoucího: [email protected] Abstrakt: Práce je zaměřena na analýzu spolehlivosti se zvláštním důrazem na Aalenův aditivní model. Při testování hypotéz v analýze spolehlivosti často získáváme proces, který za platnosti hypotézy konverguje ke Gaus- sovskému martingalu, jehož rozptyl umíme odhadnout rovnoměrně konzis- tentním odhadem. Dostáváme se tak vlastně k nové hypotéze o procesu získaném testováním původní hypotézy. Existuje více způsobů, jak tuto hy- potézu testovat. V práci jsou představeny některé z nich a síla těchto testů je pomocí Monte Carlo simulací porovnána pro různé modely a velikosti výběrového souboru. Ve speciálním případě je odvozen bod, který maxima- lizuje asymptotickou sílu dvou testů. Klíčová slova: Martingal, Aalenův aditivní model, riziková funkce 1Title: Random Processes in Reliability Analysis Author: Kamil Chovanec Department: Department of Probability and Mathematical Statistics Supervisor: Doc. Petr Volf, CSc. Supervisor's e-mail address: [email protected] Abstract: The thesis is aimed at the reliability analysis with special em- phasis at the Aalen additive model. The result of hypothesis testing in the reliability analysis is often a process that converges to a Gaussian martingale under the null hypothesis. We can estimate the variance of the martingale using a uniformly consistent estimator. The result of this estimation is a new hypothesis about the process resulting from the original hypothesis. There are several ways to test for this hypothesis. The thesis presents some of these tests and compares their power for various models and sample sizes using Monte Carlo simulations. In a special case we derive a point that maximizes the asymptotic power of two of the tests. Keywords: Martingale, Aalen's additive model, hazard function 1Department of Probability and Mathematical StatisticsKatedra pravděpodobnosti a matematické statistikyFaculty of Mathematics and PhysicsMatematicko-fyzikální fakult
Promoter Capture Hi-C Naive Primed
No full textData sets associated with the manuscript by Chovanec & Collier: Widespread reorganisation of pluripotent factor binding and gene regulatory interactions between human pluripotent state
Informační portál pro správu a vyhodnocení dotazníků pro firmu XO Studio
No full textImport 26/06/201
- …
