About: Different Approaches to Inference for the Extreme Value Distribution

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Extreme value theory has become widely used in applied sciences over the last 60 years. At present applications of the extreme value modeling are very popular in environmental sciences, in particular in hydrology and climatology for assessment of meteorological changes. Many statistical methods have been proposed for parameter estimation of extreme value distribution. These methods include graphical techniques which use different versions of probability plots, maximum likelihood-based methods, techniques based on probability-weighted moments, procedures in which parameters are estimated as specified function of order statistics (the Hill estimator). The contribution deals with the comparisons of the above mentioned methods of estimation for data which correspond to real data sets. The finite-sample behavior of the estimators is compared by simulations. Extreme value theory has become widely used in applied sciences over the last 60 years. At present applications of the extreme value modeling are very popular in environmental sciences, in particular in hydrology and climatology for assessment of meteorological changes. Many statistical methods have been proposed for parameter estimation of extreme value distribution. These methods include graphical techniques which use different versions of probability plots, maximum likelihood-based methods, techniques based on probability-weighted moments, procedures in which parameters are estimated as specified function of order statistics (the Hill estimator). The contribution deals with the comparisons of the above mentioned methods of estimation for data which correspond to real data sets. The finite-sample behavior of the estimators is compared by simulations. (en)
Title	Different Approaches to Inference for the Extreme Value Distribution Different Approaches to Inference for the Extreme Value Distribution (en)
skos:prefLabel	Different Approaches to Inference for the Extreme Value Distribution Different Approaches to Inference for the Extreme Value Distribution (en)
skos:notation	RIV/00216305:26210/11:PU94427!RIV12-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	2012
http://linked.open...aciTvurceVysledku	Michálek, Jaroslav 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	194572
http://linked.open...ai/riv/idVysledku	RIV/00216305:26210/11:PU94427
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	extreme value distribution, Pareto distribution, maximum likelihood method, probability-weighted moment methods, order statistics (en)
http://linked.open.../riv/klicoveSlovo	extreme value distribution order statistics probability-weighted moment methods Pareto distribution maximum likelihood method
http://linked.open...ontrolniKodProRIV	[1C6A4671BF09]
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Fusek, Michal Michálek, Jaroslav
http://localhost/t...ganizacniJednotka	26210

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