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dc.contributor.advisorWaldo, James
dc.contributor.advisorBlitzstein, Joseph
dc.contributor.authorZhu, Jessica M.
dc.date.accessioned2019-04-05T16:17:23Z
dash.embargo.terms2019-05-01
dc.date.created2018-05
dc.date.issued2018-06-29
dc.date.submitted2018
dc.identifier.citationZhu, Jessica M. 2018. Figure Skating Scores: Prediction and Assessing Bias. Bachelor's thesis, Harvard College.
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:39011778*
dc.description.abstractFigure skating has not yet benefited from the statistics craze surrounding America's most popular sports. The literature that does analyze figure skating largely deals with the scoring system abandoned in 2004. This thesis sets out to analyze more recent competitive results and provide a foundation for the analysis of judged sports. For the first time, we assemble all figure skating competition data under the new scoring system in a format amenable to analysis. We build two types of models to predict future competitions by applying linear regression and hierarchical model techniques to fit distributions to previous results. We assess judging bias and show evidence for a small nationalistic bias that rarely impacts rankings.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dash.licenseLAA
dash.licenseLAA
dc.subjectComputer Science
dc.subjectStatistics
dc.titleFigure Skating Scores: Prediction and Assessing Bias
dc.typeThesis or Dissertation
dash.depositing.authorZhu, Jessica M.
dash.embargo.until2019-05-01
dc.date.available2019-04-05T16:17:23Z
thesis.degree.date2018
thesis.degree.disciplineComputer Science
thesis.degree.grantorHarvard College
thesis.degree.levelUndergraduate
thesis.degree.nameAB
dc.type.materialtext
thesis.degree.departmentComputer Science
thesis.degree.discipline-jointStatistics
dash.identifier.vireohttp://etds.lib.harvard.edu/college/admin/view/270
dash.author.emailmengyazhu96@gmail.com


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