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dc.identifier.urihttp://hdl.handle.net/11401/72390
dc.identifier.urihttp://hdl.handle.net/1951/52201
dc.description.sponsorshipThis work is sponsored by the Stony Brook University Graduate School in compliance with the requirements for completion of degree.en_US
dc.formatMonograph
dc.format.mediumElectronic Resourceen_US
dc.language.isoen_US
dc.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dc.typeDissertation
dcterms.available2011-09-13T17:31:26Z
dcterms.available2015-04-24T14:51:48Z
dcterms.creatorBaez-Revueltas, Fabiola Berenice
dcterms.dateAccepted2011-09-13T17:31:26Z
dcterms.dateAccepted2015-04-24T14:51:48Z
dcterms.dateSubmitted2011-09-13T17:31:26Z
dcterms.dateSubmitted2015-04-24T14:51:48Z
dcterms.formatMonograph
dcterms.formatApplication/PDFen_US
dcterms.identifierhttp://hdl.handle.net/11401/72390
dcterms.identifier000000684.sbu.pdfen_US
dcterms.identifierhttp://hdl.handle.net/1951/52201
dcterms.issued2009-08-01
dcterms.languageen_US
dcterms.provenanceMade available in DSpace on 2011-09-13T17:31:26Z (GMT). No. of bitstreams: 1 000000684.sbu.pdf: 2225580 bytes, checksum: 66a6563f3f29477e30531999312811a1 (MD5)en
dcterms.provenanceMade available in DSpace on 2015-04-24T14:51:48Z (GMT). No. of bitstreams: 3 000000684.sbu.pdf.jpg: 1894 bytes, checksum: a6009c46e6ec8251b348085684cba80d (MD5) 000000684.sbu.pdf: 2225580 bytes, checksum: 66a6563f3f29477e30531999312811a1 (MD5) 000000684.sbu.pdf.txt: 81111 bytes, checksum: b47a767c60f9088860c487c474d70c95 (MD5) Previous issue date: 2009-08-01en
dcterms.publisherThe Graduate School, Stony Brook University: Stony Brook, NY.
dcterms.subjectResidual logistic regression
dcterms.subjectLogistic regression analysis
dcterms.titleResidual Logistic Regression
dcterms.typeDissertation


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