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dc.contributor.authorLázaro, Elena
dc.contributor.authorArmero, Carmen
dc.contributor.authorRubio, Luis
dc.date.accessioned2018-01-12T15:45:39Z
dc.date.available2018-01-12T15:45:39Z
dc.date.issued2017-06-21
dc.identifier.citationLázaro, E.; Armero, C.; Rubio, L. Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems. "SORT", 21 Juny 2017, vol. 1, p. 93-116.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/112754
dc.description.abstractCultivation of horticultural species under organic management has increased in importance in recent years. However, the sustainability of this new production method needs to be supported by scientific research, especially in the field of virology. We studied the prevalence of three important virus diseases in agroecosystems with regard to its management system: organic
dc.format.extent24 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherHellinger distance
dc.subject.othermodel robustness
dc.subject.otherrisk infection
dc.subject.othersensitivity analysis
dc.subject.othervirus epidemiology
dc.titleBayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems
dc.typeArticle
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62F Parametric inference
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.citation.publicationNameSORT
local.citation.volume1
local.citation.startingPage93
local.citation.endingPage116


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