Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina

Engineers are aware of the uncertainties associated with the probability distributions of natural phenomena or those involving human beings. Even if one knows the parent distribution, in a hypothetical case, its functional representation remains a problem. One can select an appropriate probability m...

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Main Authors: Kovačević Miljan, Marković Ljubo, Babić Lidija
Format: Article
Language:English
Published: Society for Materials and Structures testing of Serbia 2014-01-01
Series:Građevinski Materijali i Konstrukcije
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/2217-8139/2014/0543-07981404021K.pdf
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spelling doaj-26b961355064439e86ef137973c36d032021-03-23T22:00:46ZengSociety for Materials and Structures testing of SerbiaGrađevinski Materijali i Konstrukcije2217-81392335-02292014-01-01574212910.5937/grmk1404021K0543-07981404021KStatistical modelling of extreme values: Application to calculate extreme flow at river RasinaKovačević Miljan0https://orcid.org/0000-0003-0740-2136Marković Ljubo1Babić Lidija2Univerzitet u Prištini, Fakultet tehničkih nauka, Kosovska Mitrovica, SerbiaUniverzitet u Prištini, Fakultet tehničkih nauka, Kosovska Mitrovica, SerbiaUniverzitet u Prištini, Fakultet tehničkih nauka, Kosovska Mitrovica, SerbiaEngineers are aware of the uncertainties associated with the probability distributions of natural phenomena or those involving human beings. Even if one knows the parent distribution, in a hypothetical case, its functional representation remains a problem. One can select an appropriate probability model in a practical situation, considering the data available, to describe the phenomenon of interest, and then estimate the parameters and assess the risks involved. The data of 27 annual maximum streamflows at river Rasina in south central Serbia from 1966 to 2008 were analyzed and modeled. Three extreme value models for the data were considered and compared. Subsequently, the required design value with a given return period of exceedance was obtained.https://scindeks-clanci.ceon.rs/data/pdf/2217-8139/2014/0543-07981404021K.pdfanderson-darling testdesign valuefrechet distributiongeneral extreme value distributiongoodness-of-fitgumbel distributionkolmogorov-smirnov testreturn period
collection DOAJ
language English
format Article
sources DOAJ
author Kovačević Miljan
Marković Ljubo
Babić Lidija
spellingShingle Kovačević Miljan
Marković Ljubo
Babić Lidija
Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
Građevinski Materijali i Konstrukcije
anderson-darling test
design value
frechet distribution
general extreme value distribution
goodness-of-fit
gumbel distribution
kolmogorov-smirnov test
return period
author_facet Kovačević Miljan
Marković Ljubo
Babić Lidija
author_sort Kovačević Miljan
title Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
title_short Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
title_full Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
title_fullStr Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
title_full_unstemmed Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
title_sort statistical modelling of extreme values: application to calculate extreme flow at river rasina
publisher Society for Materials and Structures testing of Serbia
series Građevinski Materijali i Konstrukcije
issn 2217-8139
2335-0229
publishDate 2014-01-01
description Engineers are aware of the uncertainties associated with the probability distributions of natural phenomena or those involving human beings. Even if one knows the parent distribution, in a hypothetical case, its functional representation remains a problem. One can select an appropriate probability model in a practical situation, considering the data available, to describe the phenomenon of interest, and then estimate the parameters and assess the risks involved. The data of 27 annual maximum streamflows at river Rasina in south central Serbia from 1966 to 2008 were analyzed and modeled. Three extreme value models for the data were considered and compared. Subsequently, the required design value with a given return period of exceedance was obtained.
topic anderson-darling test
design value
frechet distribution
general extreme value distribution
goodness-of-fit
gumbel distribution
kolmogorov-smirnov test
return period
url https://scindeks-clanci.ceon.rs/data/pdf/2217-8139/2014/0543-07981404021K.pdf
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AT markovicljubo statisticalmodellingofextremevaluesapplicationtocalculateextremeflowatriverrasina
AT babiclidija statisticalmodellingofextremevaluesapplicationtocalculateextremeflowatriverrasina
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