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A DECISION MODEL FOR STUDENT-ATHLETE ENTRY INTO THE NBA DRAFT

dc.contributor.advisorFu, Michaelen_US
dc.contributor.authorFisher, Narrynen_US
dc.date.accessioned2014-10-11T05:50:06Z
dc.date.available2014-10-11T05:50:06Z
dc.date.issued2014en_US
dc.identifierhttps://doi.org/10.13016/M2K30Z
dc.identifier.urihttp://hdl.handle.net/1903/15775
dc.description.abstractWe develop a Markov Decision Process model using the framework of an optimal stopping problem to describe whether or not a student-athlete should enter the National Basketball Association (NBA) draft early. Our model uses a simulation algorithm for estimating the draft value of a student-athlete to inform his decision as he evaluates whether or not he should enter the NBA draft and forgo his remaining college eligibility. The model incorporates the shift in player evaluation for the draft that is now heavily focused on a student athlete's potential rather than the talent that a student-athlete displays in the collegiate game. The algorithm generates two estimates, one biased high and one biased low, both asymptotically unbiased as the computational effort increases and converging to the student-athlete's draft value.en_US
dc.language.isoenen_US
dc.titleA DECISION MODEL FOR STUDENT-ATHLETE ENTRY INTO THE NBA DRAFTen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentApplied Mathematics and Scientific Computationen_US
dc.subject.pqcontrolledApplied mathematicsen_US
dc.subject.pqcontrolledOperations researchen_US
dc.subject.pquncontrolledMarkov Decision Processen_US
dc.subject.pquncontrolledNBAen_US
dc.subject.pquncontrolledNCAAen_US
dc.subject.pquncontrolledOptimal Stoppingen_US
dc.subject.pquncontrolledSimulationen_US
dc.subject.pquncontrolledStudent-Athleteen_US


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