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dc.contributor.authorWhite, John Edwarden
dc.date.accessioned2014-03-14T21:37:36Zen
dc.date.available2014-03-14T21:37:36Zen
dc.date.issued1960-03-15en
dc.identifier.otheretd-06102012-040041en
dc.identifier.urihttp://hdl.handle.net/10919/43022en
dc.description.abstractThese few examples present further illustration of the fact that the Pearson approximations are very adequate for many practical purposes, and may be regarded a justifiable procedure if the true distribution is not known. The purpose of this paper was the preparation of improved, tables which may lead to more extensive comparative studies of this kind.en
dc.format.extent65 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 26846762en
dc.relation.haspartLD5655.V855_1960.W558.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1960.W558en
dc.subject.lcshDistribution (Probability theory)en
dc.titleSome contributions to the evaluation of Pearsonian distribution functionsen
dc.typeThesisen
dc.contributor.departmentStatisticsen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.disciplineStatisticsen
dc.contributor.committeechairBargmann, Rolf E.en
dc.contributor.committeememberFreund, Rudolf J.en
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06102012-040041/en
dc.date.sdate2012-06-10en
dc.date.rdate2012-06-10en
dc.date.adate2012-06-10en


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