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Geometallurgical modelling to help in predicting zinc metallurgical recovery

dc.contributor.authorVieira, Mara Cássia Alvespt_BR
dc.contributor.authorCosta, Joao Felipe Coimbra Leitept_BR
dc.date.accessioned2020-07-28T03:43:11Zpt_BR
dc.date.issued2016pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/212434pt_BR
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofWorld Mining Congress (24. : 2016 : Rio de Janeiro, RJ). Proceedings: mineral exploration [recurso eletrônico]. Rio de Janeiro: IBRAM, 2016.pt_BR
dc.rightsOpen Accessen
dc.subjectGeometalurgiapt_BR
dc.subjectGeometallurgyen
dc.subjectMultiple regressionen
dc.subjectRegressão múltiplapt_BR
dc.subjectKrigagempt_BR
dc.subjectMetallurgical recoveryen
dc.subjectIndicator krigingen
dc.subjectOrdinary krigingen
dc.titleGeometallurgical modelling to help in predicting zinc metallurgical recoverypt_BR
dc.typeTrabalho completo publicado em eventopt_BR
dc.contributor.eventWorld Mining Congress (24. : 2016 : Rio de Janiero, RJ)pt_BR
dc.identifier.nrb001105101pt_BR
dc.type.originNacionalpt_BR


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