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dc.contributor.authorZhang, Xiao
dc.description.abstractThis paper presents a new bracketing method for all 63 games in the NCAA Division 1 basketball tournament. This method, based on the logistic conditional probability models, is self-consistent in terms of constructing winning probabilities of each game. Empirical results show that this method outperforms the ordinal logistic regression and expectation method with restriction(Restricted OLRE model) proposed by West (2006).en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleBracketing NCAA Men's Division I Basketball Tournamenten_US
dc.typeMaster's paperen_US
dc.date.accessioned2013-08-05T15:34:31Z
dc.date.available2013-08-05T15:34:31Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10365/23055
dc.subject.lcshNCAA Basketball Tournament -- Statistics.en_US
dc.subject.lcshBasketball -- United States -- Statistics.en_US
dc.subject.lcshRanking and selection (Statistics)en_US
dc.subject.lcshProbabilities.en_US
dc.subject.lcshNational Collegiate Athletic Association. Division I.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeScience and Mathematicsen_US
ndsu.departmentStatisticsen_US
ndsu.programStatisticsen_US
ndsu.advisorShen, Gang


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