Body Shape Classifications for Males 26 to 35 Using Size USA Three-Dimensional Scan Data.

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dc.contributor.advisorCynthia Istook, Chair
dc.contributor.advisorMarguerite Moore, Member
dc.contributor.advisorJoshua Pierce, Graduate School Representative
dc.contributor.advisorKatherine Annett-Hitchcock, Member
dc.contributor.advisorAndre West, Member
dc.contributor.authorWilson, Anthony Frank
dc.date.accepted2016-11-16
dc.date.accessioned2017-11-18T13:32:03Z
dc.date.available2017-11-18T13:32:03Z
dc.date.defense2016-08-15
dc.date.embargo2017-11-18
dc.date.issued2016-08-15
dc.date.released2017-11-18
dc.date.reviewed2016-08-25
dc.date.submitted2016-08-15
dc.degree.disciplineTextile Technology Management
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Textile Technology Management .
dc.formatPh.D. North Carolina State University, 2017.
dc.identifier.otherdeg5501
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34809
dc.rights
dc.titleBody Shape Classifications for Males 26 to 35 Using Size USA Three-Dimensional Scan Data.
dcterms.extent1 online resource (xiii, 89 pages) : illustrations, charts

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