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dc.contributor.authorKrause, Gary F.en
dc.date.accessioned2014-03-14T21:10:06Zen
dc.date.available2014-03-14T21:10:06Zen
dc.date.issued1963-05-15en
dc.identifier.otheretd-03172010-020748en
dc.identifier.urihttp://hdl.handle.net/10919/37501en
dc.description.abstractA formulation is presented which describes a new method of handling responses which are characteristically a function relating measurable random variables to mathematical variables. The formulation considers each response a random function which is called a functional observation. This statistical formulation results in each response being summarized in a convenient functional form which can be used to derive other functional relationships which describe the response.en
dc.format.extentiv, 191 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 20185995en
dc.relation.haspartLD5655.V856_1963.K728.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1963.K728en
dc.subject.lcshPoultry -- Growthen
dc.titleFunctional observations: a biostatistical study of growthen
dc.typeDissertationen
dc.contributor.departmentStatisticsen
dc.description.degreePh. D.en
thesis.degree.namePh. D.en
thesis.degree.leveldoctoralen
thesis.degree.grantorVirginia Polytechnic Instituteen
thesis.degree.disciplineStatisticsen
dc.contributor.committeememberHurst, David C.en
dc.contributor.committeememberSiegel, Paul B.en
dc.contributor.committeememberHarshbarger, Boyden
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-03172010-020748/en
dc.date.sdate2010-03-17en
dc.date.rdate2010-03-17en
dc.date.adate2010-03-17en


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