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dc.contributor.authorHaileyesus, Tadesse
dc.date.accessioned2014-03-05T16:08:03Z
dc.date.available2014-03-05T16:08:03Z
dc.date.issued2002-05
dc.identifier.otherhaileyesus_tadesse_200205_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/haileyesus_tadesse_200205_ms
dc.identifier.urihttp://hdl.handle.net/10724/29588
dc.description.abstractA class of space time bilinear (STBL) models have been proposed by Dai and Billard (1998). In this paper we have applied these newly developed STBL models, existing space time autoregressive and moving average (STARMA) models, and the standard nonspatial linear autoregressive and moving average (ARMA) models to a set of reported AIDS data in U.S. and compared the results. The STBL models were found to be the best fit to our AIDS data; a discussion of the findings is given.
dc.languageApplication and comparison of time series models to AIDS data
dc.publisheruga
dc.rightspublic
dc.subjectSpace Time Bilinear Model
dc.subjectBilinear Time Series
dc.subjectMaximum Likelihood Estimation
dc.subjectForecasting
dc.subjectWeighting with Probability Proportional to Size
dc.subjectSTBL
dc.subjectSTARMA
dc.subjectARMA
dc.subjectHIV/AIDS
dc.titleApplication and comparison of time series models to AIDS data
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorLynne Billard
dc.description.committeeLynne Billard
dc.description.committeeT. N. Sriram
dc.description.committeeNancy Lyons


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