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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)
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Title
| - Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes
- Comparison of Parametric and Nonparametric Methods for Estimation of Hydrological Extremes (en)
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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)
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skos:notation
| - RIV/00216305:26210/13:PU104671!RIV14-MSM-26210___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26210/13:PU104671
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - extreme value distribution, parametric estimates, nonparametric estimates, maximum likelihood method, method of proability weighted moments, bootstrap, IDF curves (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Fusek, Michal
- Michálek, Jaroslav
- Holešovský, Jan
- Blachut, Vít
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http://localhost/t...ganizacniJednotka
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