This HTML5 document contains 36 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n17http://localhost/temp/predkladatel/
n9http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n7http://linked.opendata.cz/resource/domain/vavai/subjekt/
n6http://linked.opendata.cz/ontology/domain/vavai/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n14http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26210%2F13%3APU105190%21RIV14-MSM-26210___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n8http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F13%3APU105190%21RIV14-MSM-26210___
rdf:type
skos:Concept n6:Vysledek
dcterms:description
The presented paper is focused on comparison of different approaches to estimation of parameters of extreme value distributions. The commonly used parametric methods are compared with several nonparametric approaches, and properties of the estimates are discussed. The parametric inference is based on the partial duration series method and the generalized Pareto distribution. Unknown parameters of the distribution are estimated using the maximum likelihood method, and the method of probability weighted moments, which are often used in hydrology. The nonparametric inference is based on results presented by Gomes and Oliveira (see [1]), and the tail index of the extreme value distribution is estimated using the bootstrap methodology. The performance of estimators is compared using real and simulated data. The real data consists of historical rainfall series in the form of rainfall intensities from six stations operated by the Czech Hydrometeorological Institute in South Moravian Region in the Czech Repub The presented paper is focused on comparison of different approaches to estimation of parameters of extreme value distributions. The commonly used parametric methods are compared with several nonparametric approaches, and properties of the estimates are discussed. The parametric inference is based on the partial duration series method and the generalized Pareto distribution. Unknown parameters of the distribution are estimated using the maximum likelihood method, and the method of probability weighted moments, which are often used in hydrology. The nonparametric inference is based on results presented by Gomes and Oliveira (see [1]), and the tail index of the extreme value distribution is estimated using the bootstrap methodology. The performance of estimators is compared using real and simulated data. The real data consists of historical rainfall series in the form of rainfall intensities from six stations operated by the Czech Hydrometeorological Institute in South Moravian Region in the Czech Repub
dcterms:title
Comparison of Parametric and Nonparametric Estimates of Extreme Value Distribution Comparison of Parametric and Nonparametric Estimates of Extreme Value Distribution
skos:prefLabel
Comparison of Parametric and Nonparametric Estimates of Extreme Value Distribution Comparison of Parametric and Nonparametric Estimates of Extreme Value Distribution
skos:notation
RIV/00216305:26210/13:PU105190!RIV14-MSM-26210___
n6:predkladatel
n7:orjk%3A26210
n3:aktivita
n16:S
n3:aktivity
S
n3:dodaniDat
n15:2014
n3:domaciTvurceVysledku
n9:6788319 n9:8030723 n9:2837633
n3:druhVysledku
n13:O
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
66276
n3:idVysledku
RIV/00216305:26210/13:PU105190
n3:jazykVysledku
n5:eng
n3:klicovaSlova
extreme value ditribution, IDF curves, bootstrap
n3:klicoveSlovo
n8:IDF%20curves n8:bootstrap n8:extreme%20value%20ditribution
n3:kontrolniKodProRIV
[42613F01B671]
n3:obor
n11:BB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n15:2013
n3:tvurceVysledku
Michálek, Jaroslav Fusek, Michal Blachut, Vít Holešovský, Jan
n17:organizacniJednotka
26210