The influence of experimental design on robustness to nonnormality of the f test in regression analysis

Simple item page
creativework.keywordsDesign of experiments, F test for adequacy, Nonnormality, Regression analysis, Robustness to nonnormality.
dc.contributor.authorVuchkov I.
dc.contributor.authorSolakov E.
dc.date.accessioned2024-07-10T14:27:03Z
dc.date.accessioned2024-07-10T14:47:29Z
dc.date.available2024-07-10T14:27:03Z
dc.date.available2024-07-10T14:47:29Z
dc.date.issued1980-12-01
dc.description.abstractThe robustness to nonnormality of the F test for model adequacy depends essentially on the distribution of repeated trials over the support points of the design.The influence of the regression design matrix upon robustness is more limited. © 1980 Biometrika Trust.
dc.identifier.doi10.1093/biomet/67.2.489
dc.identifier.issn0006-3444
dc.identifier.scopusSCOPUS_ID:77956890050en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/198
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956890050&origin=inward
dc.titleThe influence of experimental design on robustness to nonnormality of the f test in regression analysis
dc.typeArticle
oaire.citation.issue2
oaire.citation.volume67
Files
Collections
Articles