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dc.contributor.authorLiu, Cejun
dc.date.accessioned2014-03-03T20:20:58Z
dc.date.available2014-03-03T20:20:58Z
dc.date.issued2002-12
dc.identifier.otherliu_cejun_200212_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/liu_cejun_200212_ms
dc.identifier.urihttp://hdl.handle.net/10724/20614
dc.description.abstractA well-known statistical model -the Bass new product di .usion model is intro- duced to describe the di .usion of an innovation.The basic assumption of the model is that the timing of a consumer ’s initial purchase is related to the number of pre- vious buyers.We also introduce two methods of estimating the model ’s parameters: the ordinary least square (OLS)method and nonlinear least square (NLS)method. We then apply this model to several consumer products data.We obtain the statis- tically signi .cant estimates for the model ’s parameters,and good predictions of the sales peak and the timing of the peak.We also perform a long range forecast for the sales of ATM cash card.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectDiffusion of Innovation
dc.subjectBass Model
dc.subjectCoefficient of Innovation,
dc.titleStatistical model for the diffusion of innovation and its applications
dc.typeThesis
dc.description.degreeMS
dc.description.departmentPhysics and Astronomy
dc.description.majorStatistics
dc.description.advisorA. N. Vidyashankar
dc.description.committeeA. N. Vidyashankar
dc.description.committeeRobert Taylor
dc.description.committeePaul Schliekelman


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