Analysis of variance of a randomized block design with missing observations

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dc.contributor.authorGlenn, William Alexanderen
dc.contributor.committeechairKramer, Clyde Y.en
dc.contributor.committeememberPardue, Louis A.en
dc.contributor.committeememberHarshbarger, Boyden
dc.contributor.committeememberJohnston, G. Burkeen
dc.contributor.departmentStatisticsen
dc.date.accessioned2014-03-14T21:41:51Zen
dc.date.adate2012-08-01en
dc.date.available2014-03-14T21:41:51Zen
dc.date.issued1957-09-15en
dc.date.rdate2012-08-01en
dc.date.sdate2012-08-01en
dc.description.abstractThe estimation of several missing values in a randomized block design ls considered. The method used ls that of minimizing the error sum of squares, proposed originally by Yates (1933). Explicit equation for each absent value are derived for all cases in which not more than three values are missing. A general formula valid for any permissible number of missing observations ls given for the case in which no two values are missing in the same block or treatment, and also for the case in which all of the values missing are in a single block or treatment. A procedure for the completely general case is proposed. This, although requiring the inversion of s symmetric matrix of order equal to the number of missing observations, may prove to be less tedious in application than the iterative method proposed by Yates.en
dc.description.degreeMaster of Scienceen
dc.format.extent43 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-08012012-040035en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-08012012-040035/en
dc.identifier.urihttp://hdl.handle.net/10919/44036en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V855_1957.G538.pdfen
dc.relation.isformatofOCLC# 26607229en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1957.G538en
dc.subject.lcshBlock designs -- Analysisen
dc.titleAnalysis of variance of a randomized block design with missing observationsen
dc.typeThesisen
dc.type.dcmitypeTexten
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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