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dc.contributor.advisorSielken, Robert L., Jr.
dc.creatorMonroe, Howard Marshal
dc.date.accessioned2020-08-21T21:09:24Z
dc.date.available2020-08-21T21:09:24Z
dc.date.issued1982
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-283390
dc.descriptionTypescript (photocopy).en
dc.description.abstractFor many optimization problems approximate or near-optimal solutions are the only practical solutions available. This dissertation identifies and compares some procedures which use independent near-optimal solutions to determine a confidence limit such that, with a user specified confidence, the global optimum is between the best near-optimal solution and the confidence limit. A computer implementation of the procedures is available upon request.en
dc.format.extentxi, 106 leaves ;en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectStatisticsen
dc.subject.classification1982 Dissertation M753
dc.subject.lcshConfidence intervalsen
dc.subject.lcshMathematical modelsen
dc.subject.lcshStatistical tolerance regionsen
dc.titleConfidence limits for the global optimumen
dc.typeThesisen
thesis.degree.disciplinePhilosophyen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. D. in Philosophyen
thesis.degree.levelDoctorialen
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc9288153


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