Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/714
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dc.contributor6207es_ES
dc.contributor.otherhttps://orcid.org/0000-0002-7081-9084es_ES
dc.coverage.spatialGlobales_ES
dc.creatorVega Carrillo, Héctor René-
dc.date.accessioned2019-03-12T16:30:59Z-
dc.date.available2019-03-12T16:30:59Z-
dc.date.issued1989-08-
dc.identifierinfo:eu-repo/semantics/publishedVersiones_ES
dc.identifier.issn0035-001Xes_ES
dc.identifier.urihttp://localhost/xmlui/handle/20.500.11845/714-
dc.identifier.urihttps://doi.org/10.48779/0egn-1c86es_ES
dc.description.abstract\Ve discuss the problem of fitting an experimental data sel into a linear curve when experimental uncertainties can not be overlooked. Difficulties w¡th the standard least-squares method are pointed out. An alternative weighted least-squared method, depending on knowledge about the uncertainties ror fouT different cases.is prc. sented, and we use it to tl.nalyzc the data from a particular cxperiment. From this application it is shown that we get better results using the proper ra.sees_ES
dc.language.isoenges_ES
dc.publisherSociedad Mexicana de Física, A.C.es_ES
dc.relationhttps://rmf.smf.mx/pdf/rmf/35/4/35_4_597.pdfes_ES
dc.relation.urigeneralPublices_ES
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.sourceRevÍsta Mexicana de Física, Vol. 35 No 4, 1989), pp. 591-602es_ES
dc.subject.classificationCIENCIAS FISICO MATEMATICAS Y CIENCIAS DE LA TIERRA [1]es_ES
dc.subject.otherExperimental caseses_ES
dc.subject.otherlynear regresion analysises_ES
dc.subject.otherstatistical softwarees_ES
dc.titleLeast squares for different experimental caseses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
Appears in Collections:*Documentos Académicos*-- UA Ciencias Nucleares

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