New Approaches to Constructing and Evaluating Data Subsamples for Large and Dynamic Data Structures.

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dc.contributor.advisorJonathan Stallrich, Chair
dc.contributor.advisorBrian Reich, Member
dc.contributor.advisorAbhinav Gupta, Member
dc.contributor.advisorPeter Parker, External
dc.contributor.advisorSrijan Sengupta, Member
dc.contributor.authorDavis, Ethan Michael
dc.date.accepted2022-05-31
dc.date.accessioned2022-06-16T12:30:28Z
dc.date.available2022-06-16T12:30:28Z
dc.date.defense2022-05-16
dc.date.issued2022-05-16
dc.date.released2022-06-16
dc.date.reviewed2022-05-24
dc.date.submitted2022-05-16
dc.degree.disciplineStatistics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Statistics.
dc.formatPh.D. North Carolina State University, 2022.
dc.identifier.otherdeg29628
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39714
dc.titleNew Approaches to Constructing and Evaluating Data Subsamples for Large and Dynamic Data Structures.
dcterms.extent1 online resource (x, 114 pages) : illustrations

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