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Understanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering

dc.contributor.authorGerassis, S.
dc.contributor.authorAlbuquerque, M. T. D.
dc.contributor.authorGarcía, J. F.
dc.contributor.authorBoente López, Carlos 
dc.contributor.authorGiráldez, E.
dc.contributor.authorTaboada, J.
dc.contributor.authorMartín, J. E.
dc.date.accessioned2019-08-21T07:34:16Z
dc.date.available2019-08-21T07:34:16Z
dc.date.issued2019
dc.identifier.citationReliability Engineering and System Safety, 188, p. 195-204 (2019); doi:10.1016/j.ress.2019.03.032
dc.identifier.issn0951-8320
dc.identifier.urihttp://hdl.handle.net/10651/52301
dc.description.sponsorshipC. Boente obtained a grant from the “Formación del Profesorado Universitario” program, financed by the “ Ministerio de Educación, Cultura y Deporte de España ” ( FPU14/02215 ). The members of the Department of Natural Resources and Environmental Engineering appreciate the funding received by the Xunta de Galicia (Spain) and FEDER funds through the GRC2014/020 project.
dc.format.extentp. 195-204
dc.language.isoeng
dc.relation.ispartofReliability Engineering and System Safety, 188
dc.rights© 2019 Elsevier
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85063053396&doi=10.1016%2fj.ress.2019.03.032&partnerID=40&md5=17eb2554a8136a255945270dc684341f
dc.titleUnderstanding complex blasting operations: A structural equation model combining Bayesian networks and latent class clustering
dc.typejournal article
dc.identifier.doi10.1016/j.ress.2019.03.032
dc.relation.projectIDC. Boente obtained a grant from the “Formación del Profesorado Universitario” program, financed by the “Ministerio de Educación, Cultura y Deporte de España” (FPU14/02215). The members of the Department of Natural Resources and Environmental Engineering appreciate the funding received by the Xunta de Galicia (Spain) and FEDER funds through the GRC2014/020 project.
dc.relation.projectIDMECD/FPU14/02215
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ress.2019.03.032


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