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Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems
dc.contributor.author | Lázaro, Elena |
dc.contributor.author | Armero, Carmen |
dc.contributor.author | Rubio, Luis |
dc.date.accessioned | 2018-01-12T15:45:39Z |
dc.date.available | 2018-01-12T15:45:39Z |
dc.date.issued | 2017-06-21 |
dc.identifier.citation | Lázaro, 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.issn | 1696-2281 |
dc.identifier.uri | http://hdl.handle.net/2117/112754 |
dc.description.abstract | Cultivation 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.extent | 24 p. |
dc.language.iso | eng |
dc.publisher | Institut d'Estadística de Catalunya |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.other | Hellinger distance |
dc.subject.other | model robustness |
dc.subject.other | risk infection |
dc.subject.other | sensitivity analysis |
dc.subject.other | virus epidemiology |
dc.title | Bayesian correlated models for assessing the prevalence of viruses in organic and non-organic agroecosystems |
dc.type | Article |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::62 Statistics::62F Parametric inference |
dc.subject.ams | Classificació AMS::62 Statistics::62J Linear inference, regression |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.rights.access | Open Access |
local.citation.publicationName | SORT |
local.citation.volume | 1 |
local.citation.startingPage | 93 |
local.citation.endingPage | 116 |