Using weibull mixture distributions to model heterogeneous survival data

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dc.contributor.author Marín Díazaraque, Juan Miguel
dc.contributor.author Rodríguez Bernal, María Teresa
dc.contributor.author Wiper, Michael Peter
dc.date.accessioned 2006-11-09T10:49:58Z
dc.date.available 2006-11-09T10:49:58Z
dc.date.issued 2003-07
dc.identifier.uri http://hdl.handle.net/10016/197
dc.description.abstract In 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.extent 371622 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 2003-08
dc.title Using weibull mixture distributions to model heterogeneous survival data
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws033208
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