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dc.contributor.authorKathman, Jr., Steven Jayen_US
dc.date.accessioned2014-03-14T20:20:19Z
dc.date.available2014-03-14T20:20:19Z
dc.date.issued1999-12-07en_US
dc.identifier.otheretd-121499-161722en_US
dc.identifier.urihttp://hdl.handle.net/10919/30101
dc.description.abstractRandom variables defined on the natural numbers may often be approximated by Poisson variables. Just as normal approximations may be improved by saddlepoint methods, Poisson approximations may be substantially improved by tilting, expansion, and other related methods. This work will develop and examine the use of these methods, as well as present examples where such methods may be needed.en_US
dc.publisherVirginia Techen_US
dc.relation.haspartDissertation.pdfen_US
dc.rightsI hereby grant to Virginia Tech or its agents the right to archive and to make available my thesis or dissertation in whole or in part in the University Libraries in all forms of media, now or hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part of this thesis or dissertation.en_US
dc.subjectTiltingen_US
dc.subjectPoisson approximationen_US
dc.subjectGenerating functionen_US
dc.titleDiscrete Small Sample Asymptoticsen_US
dc.typeDissertationen_US
dc.contributor.departmentStatisticsen_US
dc.description.degreePh. D.en_US
thesis.degree.namePh. D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineStatisticsen_US
dc.contributor.committeechairTerrell, George R.en_US
dc.contributor.committeememberFoutz, Roberten_US
dc.contributor.committeememberYe, Keyingen_US
dc.contributor.committeememberReynolds, Marion R. Jr.en_US
dc.contributor.committeememberSmith, Eric P.en_US
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-121499-161722/en_US
dc.date.sdate1999-12-14en_US
dc.date.rdate2001-01-05
dc.date.adate2000-01-05en_US


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