Disparities Affecting Organ Donation Rates in Chile

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dc.article.number134
dc.contributor.authorPérez Castro, Pablo
dc.contributor.authorMuñoz, Delia
dc.contributor.authorGonzález, María Trinidad
dc.contributor.authorVera Alarcón, María Magdalena
dc.contributor.authorMuñoz, Ana María
dc.date.accessioned2024-04-15T08:00:19Z
dc.date.available2024-04-15T08:00:19Z
dc.date.issued2024
dc.description.abstract© 2023, Institute of Mathematical Statistics. All rights reserved.Spatial analysis commonly relies on the estimation of a co-variance matrix associated with a random field. This estimation strongly impacts the prediction where the process has not been observed, which in turn influences the construction of more sophisticated models. If some of the distances between all the possible pairs of observations in the plane are small, then we may have an ill-conditioned problem that results in a nearly singular covariance matrix. In this paper, we suggest a covariance matrix estimation method that works well even when there are very close pairs of locations on the plane. Our method is an extension to a spatial case of a method that is based on the estimation of eigenvalues of the unitary matrix decomposition of the covariance matrix. Several numerical examples are conducted to provide evidence of good performance in estimating the range parameter of the correlation structure of a spatial regression process. In addition, an application to macroalgae estimation in a restricted area of the Pacific Ocean is developed to determine a suitable estimation of the effective sample size associated with the transect sampling scheme.
dc.description.funderAC3E
dc.description.funderANID, Fondecyt
dc.description.funderUTFSM
dc.description.funderCONICYT
dc.description.funderFondecyt
dc.description.funderANID
dc.format.extent32 páginas
dc.fuente.origenScopus
dc.identifier.doi10.1097/TP.0000000000004898
dc.identifier.eissn1538-4357
dc.identifier.isbn978-1-119-52131-0
dc.identifier.issn0041-1337
dc.identifier.pubmedidMEDLINE:34444039
dc.identifier.scopusidSCOPUS_ID:85185810565
dc.identifier.urihttps://doi.org/10.1097/TP.0000000000004898
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/85071
dc.identifier.wosidWOS:001047913900001
dc.information.autorucEscuela de Medicina; Vera Alarcón, María Magdalena; 0000-0002-2969-3408; 226652
dc.issue.numero3
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final582
dc.pagina.inicio579
dc.publisherWiley
dc.relation.ispartofCuadernos de Geografia: Revista Colombiana de Geografia
dc.revistaTransplantation
dc.rightsacceso restringido
dc.subjectestimation algorithm
dc.subjectnearly singular covariance ma-trix
dc.subjectSpatial process
dc.subjectVandermonde matrix
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleDisparities Affecting Organ Donation Rates in Chile
dc.typeartículo
dc.volumen108
sipa.codpersvinculados226652
sipa.indexScopus
sipa.trazabilidadCarga WOS-SCOPUS;15-04-2024
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