Publication:
A note on the acceptability of regression solutions: another look at computational accuracy

dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorEspasa, Antoni
dc.date.accessioned2011-12-21T11:13:55Z
dc.date.available2011-12-21T11:13:55Z
dc.date.issued1977-09
dc.description.abstractThis note examines the experiment performed by Beaton, Rubin, and Barone (1976) to study the effect of rounding errors in published figures, when these data are used in regression analysis. The experiment could be vitiated by the fact that the error introduced in the trend variable is by no means trivial when one measures the data in deviation from the mean. For this reason, the results presented in Beaton, Rubin, and Barone (1976) do not contain enough evidence to suggest "that it is extremely unlikely that the unperturbed solution" (p. 161) of the Longley model is the correct one.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.identifier.bibliographicCitationJournal of the American Statistical Association. (Septiembre 1977), vol. 72, nº 359, p. 603
dc.identifier.issn1537-274X
dc.identifier.publicationfirstpage603
dc.identifier.publicationissue359
dc.identifier.publicationtitleJournal of the American Statistical Association
dc.identifier.publicationvolume72
dc.identifier.urihttps://hdl.handle.net/10016/3125
dc.language.isoeng
dc.publisherAmerican Statistical Association
dc.relation.publisherversionhttp://www.jstor.org/stable/2286226
dc.rights© Journal of the American Statistical Association
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.ecienciaEstadística
dc.subject.otherRegression analysis
dc.subject.otherRounding adjustments
dc.titleA note on the acceptability of regression solutions: another look at computational accuracy
dc.typereview*
dspace.entity.typePublication
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