Por favor, use este identificador para citar o enlazar este ítem: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083153
Registro completo de metadatos
Campo DCValorLengua/Idioma
dc.contributor.authorCARVALHO, J. R. P. de
dc.contributor.authorMONTEIRO, J. E. B. de A.
dc.contributor.authorNAKAI, A. M.
dc.contributor.authorASSAD, E. D.
dc.date.accessioned2017-12-21T23:24:37Z-
dc.date.available2017-12-21T23:24:37Z-
dc.date.created2017-12-21
dc.date.issued2017
dc.identifier.citationRevista Brasileira de Meteorologia, São Paulo, v. 32, n. 4, 575-583, Oct./Dec. 2017.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1083153-
dc.descriptionModeling by multiple enchained imputation is an area of growing importance. However, its models and methods are frequently developed for specific applications. In this study the model for multiple imputation was used to estimate daily rainfall data. Daily precipitation records from several meteorological stations were used, obtained from system AGRITEMPO for two homogenous climatic zones. The precipitation values obtained for two dates (Jan. 20th 2005 and May 2nd 2005) using the multiple imputation model were compared with geo-statistics techniques ordinary Kriging and Co-kriging with the altitude as an auxiliary variable. The multiple imputation model was 16% better for the first zone and over 23% for the second one, compared to the rainfall estimation obtained by geo-statistical techniques. The model proved to be a versatile technique, presenting coherent results with the conditions of different zones and times.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGeoestatística
dc.subjectSistema Agritempo
dc.subjectPrecipitação
dc.subjectModelagem por imputação múltipla
dc.subjectModel by multiple imputation
dc.subjectPrecipitation
dc.subjectOrdinary kriging
dc.subjectOrdinary Co-kriging
dc.subjectHomogeneous zones
dc.subjectMissing data
dc.subjectStatistical inferencept_BR
dc.titleModel for multiple imputation to estimate daily rainfall data and filling of faults.
dc.typeArtigo de periódico
dc.date.updated2017-12-21T23:24:37Zpt_BR
dc.subject.nalthesaurusMeteorological data
dc.subject.nalthesaurusGeostatistics
dc.description.notesNa publicação: José Eduardo Boffinho Almeida Monteiro.
riaa.ainfo.id1083153
riaa.ainfo.lastupdate2017-12-21
dc.identifier.doihttp://dx.doi.org/10.1590/0102-7786324006
dc.contributor.institutionJOSE RUY PORTO DE CARVALHO, CNPTIA; JOSE EDUARDO B DE ALMEIDA MONTEIRO, CNPTIA; ALAN MASSARU NAKAI, CNPTIA; EDUARDO DELGADO ASSAD, CNPTIA.
Aparece en las colecciones:Artigo em periódico indexado (CNPTIA)

Ficheros en este ítem:
Fichero Descripción TamañoFormato 
APModelrbmet.pdf3.21 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro sencillo del ítem

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace