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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2025-04-21T20:11:44Z
dc.date.available2025-04-21T20:11:44Z
dc.date.issued2025-04-21
dc.identifier.urihttps://hdl.handle.net/20.500.13067/3767
dc.description.abstractAccording the global data, global inflation data has exhibited ups and downs along a period of 20 years. One can wonder if the whole dataset can be merely represented by mathematical operations. In this paper, such operations are based in operators that can be satisfying well-defined algebra dictated by commutative as well as non-commutative operations. When operators acts onto continue functions, various relationships can be derived, From these mathematical operations, interpretation of global inflation can be extracted. It is done within the statistical errors and bias associated to operations of commutation that can be also seen as coarse algebra without any correlation to pandemics. Proposed theory and real data are directly confronted and discussed.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_PE
dc.subjectComponentes_PE
dc.subjectFormattinges_PE
dc.subjectStylees_PE
dc.subjectStylinges_PE
dc.subjectInsertes_PE
dc.titleGlobal Inflation Data Modeled by Commutative and Non-Commutative Algebraes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2024 International Conference on Engineering and Emerging Technologies (ICEET)es_PE
dc.identifier.doihttps://ieeexplore.ieee.org/document/10913620
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.publisher.countryPEes_PE
dc.source.beginpage1es_PE
dc.source.endpage5es_PE


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