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...

Full description

Bibliographic Details
Main Author: Indriati Bisono
Format: Article
Language:English
Published: Petra Christian University 2011-01-01
Series:Jurnal Teknik Industri
Subjects:
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/ind/article/view/18300
id doaj-0660c5ffe6a8437c9a3b65aab3fbfc10
record_format Article
spelling 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
_version_ 1725712254018519040