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dc.contributor.advisorKraker, Jessica J.
dc.contributor.authorPaukner, Lyle
dc.date.accessioned2016-04-11T17:26:56Z
dc.date.available2016-04-11T17:26:56Z
dc.date.issued2015-04
dc.identifier.urihttp://digital.library.wisc.edu/1793/74712
dc.descriptionColor poster with text, images, and charts.en
dc.description.abstractIn the context of finding the "best" predictive model, this research project focuses on assessing and fitting models with least-absolute-deviation techniques.en
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen
dc.language.isoen_USen
dc.relation.ispartofseriesUSGZE AS589en
dc.subjectLinear multiple regressionen
dc.subjectMathematicsen
dc.subjectLeast absolute deviation methodsen
dc.subjectPostersen
dc.titleStudy of Least Absolute Deviation Methodsen
dc.typePresentationen


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    Posters of collaborative student/faculty research presented at Student Research Day

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