Cross correlations among estimators of shape

Detalhes bibliográficos
Autor(a) principal: Martins, Eduardo Sávio Passos Rodrigues
Data de Publicação: 2002
Outros Autores: Stedinger, Jery Russell
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/59408
Resumo: The regional variability of shape parameters (such as k for the GEV distribution) maybe described by generalized least squares (GLS) regression models that allow shapeparameters to be estimated from basin characteristics recognizing the sampling uncertaintyin available shape estimators. Implementation of such GLS models requires estimates ofthe cross-site correlation of the shape parameter estimators for every pair of sites. MonteCarlo experiments provided the information needed to identify simple powerapproximations of the relationships between the cross correlation of estimators ofskewness g from [log] Pearson type 3 (P3) data and of the shape parameter k of bothgeneralized Pareto (GP) and generalized extreme value (GEV) distributions, as functionsof the intersite correlation of concurrent flows.
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spelling Cross correlations among estimators of shapeCross correlations among estimators of shapeCheiasChuvasHidrologiaThe regional variability of shape parameters (such as k for the GEV distribution) maybe described by generalized least squares (GLS) regression models that allow shapeparameters to be estimated from basin characteristics recognizing the sampling uncertaintyin available shape estimators. Implementation of such GLS models requires estimates ofthe cross-site correlation of the shape parameter estimators for every pair of sites. MonteCarlo experiments provided the information needed to identify simple powerapproximations of the relationships between the cross correlation of estimators ofskewness g from [log] Pearson type 3 (P3) data and of the shape parameter k of bothgeneralized Pareto (GP) and generalized extreme value (GEV) distributions, as functionsof the intersite correlation of concurrent flows.Water Resources Research2021-07-09T11:05:14Z2021-07-09T11:05:14Z2002info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMARTINS, Eduardo Savio Passos Rodrigues; STEDINGER, Jery Russell. Cross correlations among estimators of shape. Water Resources Research, United States, v. 38, n.11, p. 34-1-34-7, 2002.1944-7973http://www.repositorio.ufc.br/handle/riufc/59408Martins, Eduardo Sávio Passos RodriguesStedinger, Jery Russellengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2023-01-17T12:47:27Zoai:repositorio.ufc.br:riufc/59408Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2023-01-17T12:47:27Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Cross correlations among estimators of shape
Cross correlations among estimators of shape
title Cross correlations among estimators of shape
spellingShingle Cross correlations among estimators of shape
Martins, Eduardo Sávio Passos Rodrigues
Cheias
Chuvas
Hidrologia
title_short Cross correlations among estimators of shape
title_full Cross correlations among estimators of shape
title_fullStr Cross correlations among estimators of shape
title_full_unstemmed Cross correlations among estimators of shape
title_sort Cross correlations among estimators of shape
author Martins, Eduardo Sávio Passos Rodrigues
author_facet Martins, Eduardo Sávio Passos Rodrigues
Stedinger, Jery Russell
author_role author
author2 Stedinger, Jery Russell
author2_role author
dc.contributor.author.fl_str_mv Martins, Eduardo Sávio Passos Rodrigues
Stedinger, Jery Russell
dc.subject.por.fl_str_mv Cheias
Chuvas
Hidrologia
topic Cheias
Chuvas
Hidrologia
description The regional variability of shape parameters (such as k for the GEV distribution) maybe described by generalized least squares (GLS) regression models that allow shapeparameters to be estimated from basin characteristics recognizing the sampling uncertaintyin available shape estimators. Implementation of such GLS models requires estimates ofthe cross-site correlation of the shape parameter estimators for every pair of sites. MonteCarlo experiments provided the information needed to identify simple powerapproximations of the relationships between the cross correlation of estimators ofskewness g from [log] Pearson type 3 (P3) data and of the shape parameter k of bothgeneralized Pareto (GP) and generalized extreme value (GEV) distributions, as functionsof the intersite correlation of concurrent flows.
publishDate 2002
dc.date.none.fl_str_mv 2002
2021-07-09T11:05:14Z
2021-07-09T11:05:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv MARTINS, Eduardo Savio Passos Rodrigues; STEDINGER, Jery Russell. Cross correlations among estimators of shape. Water Resources Research, United States, v. 38, n.11, p. 34-1-34-7, 2002.
1944-7973
http://www.repositorio.ufc.br/handle/riufc/59408
identifier_str_mv MARTINS, Eduardo Savio Passos Rodrigues; STEDINGER, Jery Russell. Cross correlations among estimators of shape. Water Resources Research, United States, v. 38, n.11, p. 34-1-34-7, 2002.
1944-7973
url http://www.repositorio.ufc.br/handle/riufc/59408
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Water Resources Research
publisher.none.fl_str_mv Water Resources Research
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1823806799651799040

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