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dc.contributor.advisorPowers, Daniel A.
dc.creatorLi, Jingwei, active 21st centuryen
dc.date.accessioned2014-10-08T20:04:01Zen
dc.date.issued2014-05en
dc.date.submittedMay 2014en
dc.identifier.urihttp://hdl.handle.net/2152/26363en
dc.descriptiontexten
dc.description.abstractSince generalized linear model (GLM) with binary response variable is widely used in many disciplines, many efforts have been made to construct a fit model. However, little attention is paid to the link functions, which play a critical role in GLM model. In this article, we compared three link functions and evaluated different model selection methods based on these three link functions. Also, we provided some suggestions on how to choose the proper link function for binary data.en
dc.format.mimetypeapplication/pdfen
dc.subjectBinary response dataen
dc.subjectLink functionen
dc.titleChoosing the proper link function for binary dataen
dc.typeThesisen
dc.date.updated2014-10-08T20:04:01Zen
dc.description.departmentStatisticsen
thesis.degree.departmentStatisticsen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Statisticsen


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