Inflated beta distributions

dc.creatorOSPINA, Raydonal
dc.creatorFERRARI, Silvia L. P.
dc.date.accessioned2012-10-20T04:44:28Z
dc.date.accessioned2018-07-04T15:46:10Z
dc.date.available2012-10-20T04:44:28Z
dc.date.available2018-07-04T15:46:10Z
dc.date.created2012-10-20T04:44:28Z
dc.date.issued2010
dc.identifierSTATISTICAL PAPERS, v.51, n.1, p.111-126, 2010
dc.identifier0932-5026
dc.identifierhttp://producao.usp.br/handle/BDPI/30474
dc.identifier10.1007/s00362-008-0125-4
dc.identifierhttp://dx.doi.org/10.1007/s00362-008-0125-4
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627113
dc.description.abstractThis paper considers the issue of modeling fractional data observed on [0,1), (0,1] or [0,1]. Mixed continuous-discrete distributions are proposed. The beta distribution is used to describe the continuous component of the model since its density can have quite different shapes depending on the values of the two parameters that index the distribution. Properties of the proposed distributions are examined. Also, estimation based on maximum likelihood and conditional moments is discussed. Finally, practical applications that employ real data are presented.
dc.languageeng
dc.publisherSPRINGER
dc.relationStatistical Papers
dc.rightsCopyright SPRINGER
dc.rightsrestrictedAccess
dc.subjectBeta distribution
dc.subjectInflated beta distribution
dc.subjectFractional data
dc.subjectMaximum likelihood estimation
dc.subjectConditional moments
dc.subjectMixture
dc.subjectProportions
dc.titleInflated beta distributions
dc.typeArtículos de revistas


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