About: Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	https://www.tu-braunschweig.de/Medien-DB/stochastik/bridges-abstracts.pdf
Description	In connection with the more frequent occurrence of extreme flood events in the Czech Republic, there is an increased interest in methods for modelling hydrological extremes. One of the commonly used methods is based on partial duration series and generalized Pareto distribution. Parameters of the distribution are usually estimated using parametric methods, e.g. maximum likelihood method and method of probability weighted moments. Another approach is based on nonparametric methods, where the tail index of the extreme value distribution is estimated using the bootstrap methodology. This contribution is focused on comparison of various approaches to estimation of parameters and parametric functions of extreme value distributions. Performance of the estimators is illustrated using real and/or simulated data. In connection with the more frequent occurrence of extreme flood events in the Czech Republic, there is an increased interest in methods for modelling hydrological extremes. One of the commonly used methods is based on partial duration series and generalized Pareto distribution. Parameters of the distribution are usually estimated using parametric methods, e.g. maximum likelihood method and method of probability weighted moments. Another approach is based on nonparametric methods, where the tail index of the extreme value distribution is estimated using the bootstrap methodology. This contribution is focused on comparison of various approaches to estimation of parameters and parametric functions of extreme value distributions. Performance of the estimators is illustrated using real and/or simulated data. (en)
Title	Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes (en)
skos:prefLabel	Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes (en)
skos:notation	RIV/00216305:26210/13:PU104671!RIV14-MSM-26210___
http://linked.open...avai/predkladatel	Fakulta strojního inženýrství
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Blachut, Vít Holešovský, Jan Fusek, Michal
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta strojního inženýrství
http://linked.open...dnocenehoVysledku	66277
http://linked.open...ai/riv/idVysledku	RIV/00216305:26210/13:PU104671
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	extreme value distribution, parametric estimates, nonparametric estimates, maximum likelihood method, method of proability weighted moments, bootstrap, IDF curves (en)
http://linked.open.../riv/klicoveSlovo	extreme value distribution method of proability weighted moments nonparametric estimates maximum likelihood method parametric estimates IDF curves bootstrap
http://linked.open...ontrolniKodProRIV	[C7F81E92BCAF]
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Fusek, Michal Michálek, Jaroslav Holešovský, Jan Blachut, Vít
http://localhost/t...ganizacniJednotka	26210

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