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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Extreme value theory
 Pelinka, Adam ; Čabla, Adam (advisor) ; Gerthofer, Michal (referee)
Extreme value theory is a modern statistical method for modelling events with a very low probability. During the analysis, we deal with convergence of distribution of these extremal events to their limit distributions. These distributions are generalized extreme value distribution and generalized Pareto distribution, which estimate tails of empirical probability distribution, where extremal events occur. In the last years, extreme value theory is used in many fields of study, e.g. in estimating financial risk or in estimating size of floods. In this work, two methods of modelling extremal events are presented - block maxima method and peaks over threshold method. Both methods are used during the real data analysis of daily discharge of river Vltava and estimated models are summarized. Although both used methods give slightly different results, choice of the appropriate model is not clear.
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Modelování extrémních hodnot
 Shykhmanter, Dmytro ; Malá, Ivana (advisor) ; Luknár, Ivan (referee)
Modeling of extreme events is a challenging statistical task. Firstly, there is always a limit number of observations and secondly therefore no experience to back test the result. One way of estimating higher quantiles is to fit one of theoretical distributions to the data and extrapolate to the tail. The shortcoming of this approach is that the estimate of the tail is based on the observations in the center of distribution. Alternative approach to this problem is based on idea to split the data into two sub-populations and model body of the distribution separately from the tail. This methodology is applied to non-life insurance losses, where extremes are particularly important for risk management. Never the less, even this approach is not a conclusive solution of heavy tail modeling. In either case, estimated 99.5% percentiles have such high standard errors, that the their reliability is very low. On the other hand this approach is theoretically valid and deserves to be considered as one of the possible methods of extreme value analysis.
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