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dc.contributor.authorQuesada Paloma, Vicente
dc.contributor.authorGarcía Pérez, Alfonso
dc.date.accessioned2008-03-10T13:33:17Z
dc.date.available2008-03-10T13:33:17Z
dc.date.issued1982-06
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4553
dc.description.abstractIn the first part of this work, a Survival function is considered which is supposed to be an Exponential Gamma Process. The main statistical and probability properties of this process and its Bayesian interpretation are considered. In the second part, the problem to estimate, from a Bayesian view point, the Survival function is considered, looking for the Bayes rule inside of the set of linear combinations of a given set of sample functions. We finish with an estimation, in the same situation like before, of the survival mean time, and the i-th moment about the origin of the Survival function.
dc.format.extentp. 171-178
dc.language.isoeng
dc.publisherUniversitat Politècnica de Barcelona. Centre de Càlcul
dc.relation.ispartofQüestiió. 1982, vol.6, núm.2
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.otherInference
dc.subject.otherExponential Gamma Procecess
dc.subject.otherLinear approach
dc.subject.otherSurvival function
dc.subject.otherBayesian nonparametric estimation
dc.subject.otherSurvival mean time
dc.titleEstimation of random survival function: a linear approach
dc.typeArticle
dc.subject.lemacInferència
dc.subject.amsClassificació AMS::62 Statistics::62G Nonparametric inference
dc.rights.accessOpen Access
upcommons.ordre2


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 2.5 Spain