Regression analysis of full-rank experimental design models

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dc.contributor.advisorRhodes, Benjamin T., Jr.
dc.contributor.committeeMemberDawkins, George S.
dc.contributor.committeeMemberOxspring, H. Hollis
dc.creatorBerthiaume, Sheridan J.
dc.date.accessioned2022-10-28T16:26:36Z
dc.date.available2022-10-28T16:26:36Z
dc.date.issued1971
dc.description.abstractRegression analysis is a powerful and general solution method for the analysis of variance of experimental design problems. However, when the traditional experimental design model is expressed in the matrix form, Y = Xb + e, the X matrix will always be singular. [...]
dc.description.departmentIndustrial Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other13806166
dc.identifier.urihttps://hdl.handle.net/10657/12415
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleRegression analysis of full-rank experimental design models
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentIndustrial Engineering, Department of
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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