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Using weibull mixture distributions to model heterogeneous survival data

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorMarín Díazaraque, Juan Miguel
dc.contributor.authorRodríguez Bernal, María Teresa
dc.contributor.authorWiper, Michael Peter
dc.date.accessioned2006-11-09T10:49:58Z
dc.date.available2006-11-09T10:49:58Z
dc.date.issued2003-07
dc.description.abstractIn this article we use Bayesian methods to fit a Weibull mixture model with an unknown number of components to possibly right censored survival data. This is done using the recently developed, birth-death MCMC algorithm. We also show how to estimate the survivor function and the expected hazard rate from the MCMA output.
dc.format.extent371622 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.repecws033208
dc.identifier.urihttps://hdl.handle.net/10016/197
dc.language.isoeng
dc.language.isoeng
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries2003-08
dc.rights.accessRightsopen access
dc.subject.ecienciaEstadística
dc.titleUsing weibull mixture distributions to model heterogeneous survival data
dc.typeworking paper*
dspace.entity.typePublication
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