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Rare earth elements price forecasting by means of transgenic time series developed with ARIMA models

dc.contributor.authorRiesgo García, M. V.
dc.contributor.authorKrzemien, A.
dc.contributor.authorManzanedo del Campo, M. Á.
dc.contributor.authorEscanciano García-Miranda, María del Carmen 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.date.accessioned2018-11-27T08:04:02Z
dc.date.available2018-11-27T08:04:02Z
dc.date.issued2018
dc.identifier.citationResources Policy, p. 95-102 (2018); doi:10.1016/j.resourpol.2018.06.003
dc.identifier.issn0301-4207
dc.identifier.urihttp://hdl.handle.net/10651/49473
dc.language.isoeng
dc.relation.ispartofResources Policy
dc.rights© 2018 Elsevier Ltd. All rights reserved.
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048501156&doi=10.1016%2fj.resourpol.2018.06.003&partnerID=40&md5=0e02c670b13d08e1782a4a4fdd26330c
dc.titleRare earth elements price forecasting by means of transgenic time series developed with ARIMA models
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.resourpol.2018.06.003
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.resourpol.2018.06.003


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