Mengenal Data Ekstrim dan Distribusinya
People adopt many definitions for extremes. One such definition is that extremes are simply the upper tail data. In this paper we briefly review the types of upper tail data, the limiting distribution of extreme values, the analysis and the model diagnostics. We also provide a simple example of fitt...
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Petra Christian University
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Online Access: | http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18300 |
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doaj-0660c5ffe6a8437c9a3b65aab3fbfc102020-11-24T22:38:43ZengPetra Christian UniversityJurnal Teknik Industri1411-24852011-01-011328186Mengenal Data Ekstrim dan DistribusinyaIndriati BisonoPeople adopt many definitions for extremes. One such definition is that extremes are simply the upper tail data. In this paper we briefly review the types of upper tail data, the limiting distribution of extreme values, the analysis and the model diagnostics. We also provide a simple example of fitting generalized extreme values (GEV) for climate extremes http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18300Extreme valuegeneralized extreme value distributiongeneralized pareto distributionreturn level |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Indriati Bisono |
spellingShingle |
Indriati Bisono Mengenal Data Ekstrim dan Distribusinya Jurnal Teknik Industri Extreme value generalized extreme value distribution generalized pareto distribution return level |
author_facet |
Indriati Bisono |
author_sort |
Indriati Bisono |
title |
Mengenal Data Ekstrim dan Distribusinya |
title_short |
Mengenal Data Ekstrim dan Distribusinya |
title_full |
Mengenal Data Ekstrim dan Distribusinya |
title_fullStr |
Mengenal Data Ekstrim dan Distribusinya |
title_full_unstemmed |
Mengenal Data Ekstrim dan Distribusinya |
title_sort |
mengenal data ekstrim dan distribusinya |
publisher |
Petra Christian University |
series |
Jurnal Teknik Industri |
issn |
1411-2485 |
publishDate |
2011-01-01 |
description |
People adopt many definitions for extremes. One such definition is that extremes are simply the upper tail data. In this paper we briefly review the types of upper tail data, the limiting distribution of extreme values, the analysis and the model diagnostics. We also provide a simple example of fitting generalized extreme values (GEV) for climate extremes |
topic |
Extreme value generalized extreme value distribution generalized pareto distribution return level |
url |
http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18300 |
work_keys_str_mv |
AT indriatibisono mengenaldataekstrimdandistribusinya |
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1725712254018519040 |