The effect of non-normality on the power of the test of a two-way classification, fixed effects model--no interaction

dc.contributor.authorTurner, Robert Williamen
dc.contributor.departmentStatisticsen
dc.date.accessioned2020-12-15T19:11:23Zen
dc.date.available2020-12-15T19:11:23Zen
dc.date.issued1966en
dc.description.abstractThis thesis considers the effect of nonnormality, in terms of skewness and kurtosis, on the power of the analysis of variance test for a two-way classification, fixed effects model (with two replicates and no interaction). Most of the populations considered were only moderately non-normal, that is, only slightly peaked or skewed. We first considered the effect of a change in skewness for a fixed kurtosis. We then considered the effect of a change in kurtosis for a fixed skewness. In both cases, there was no significant deviation in power, as compared with the power in the normal case. The effect of non-normality on the power for an increase in both skewness and kurtosis for a particular Pearson Curve was then considered. A significant deviation in the power was found. The results indicate that for moderate departures from normality, the two-way classification, fixed effects model, is robust.en
dc.description.degreeM.S.en
dc.format.extent68 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/101392en
dc.language.isoenen
dc.publisherVirginia Polytechnic Instituteen
dc.relation.isformatofOCLC# 38201004en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1966.T86en
dc.titleThe effect of non-normality on the power of the test of a two-way classification, fixed effects model--no interactionen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.levelmastersen
thesis.degree.nameM.S.en

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