Fast FSR Methods for Second-Order Linear Regression Models

dc.contributor.advisorHoward Bondell, Committee Memberen_US
dc.contributor.advisorJason Osborne, Committee Memberen_US
dc.contributor.advisorDennis Boos, Committee Co-Chairen_US
dc.contributor.advisorLeonard Stefanski, Committee Co-Chairen_US
dc.contributor.authorCrews, Hugh Batesen_US
dc.date.accessioned2010-04-02T19:16:43Z
dc.date.available2010-04-02T19:16:43Z
dc.date.issued2008-08-11en_US
dc.degree.disciplineStatisticsen_US
dc.degree.leveldissertationen_US
dc.degree.namePhDen_US
dc.descriptionNorth Carolina State University Theses Statistics.
dc.description.abstracten_US
dc.formatThesis (Ph.D.)--North Carolina State University.
dc.identifier.otheretd-04282008-151809en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/5618
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectvariable selectionen_US
dc.subjectregressionen_US
dc.subjectfalse selection rateen_US
dc.subjectmodel selectionen_US
dc.titleFast FSR Methods for Second-Order Linear Regression Modelsen_US
dcterms.abstractKeywords: variable selection, regression, false selection rate, model selection.
dcterms.extentxvi, 151 pages : illustrations

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