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dc.contributorBécue Bertaut, Mónica María
dc.contributor.authorCaum Julio, Carme
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2013-06-11T12:19:36Z
dc.date.available2013-06-11T12:19:36Z
dc.date.issued2012-07
dc.identifier.urihttp://hdl.handle.net/2099.1/18416
dc.description.abstractThree different imputation methods are performed: two based in the closest neighbor inside a stratum (donors methods) and the third based on Bayesian models. Comparations are carried out under 3 different scenarios of missigness and relative error is used to quantify the quality of the imputations. According to our results, donors methods are simple and useful but, once we have high missing rates (20%), they give problems. Bayesian models, richer but more difficult to interpret, are more insensitive to bad missing conditions. New strata are proposed for Sd2012 via Bayesian models interpretation and perspectives of updating Bayesian models with Sd2012 data are explained. . Indirect sampling is used in hard-to-reach-populations. Target and sampled populations differ and knowledge about the links between both is required. Imputation problems arise when values of links are missing. In the framework of the "Sans domicile" survey SD2001, different methods have to be proposed and compared
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshStatistics-Tables
dc.subject.otherimputation methods
dc.subject.otherSans-domicile
dc.subject.otherweight shared method
dc.subject.othertime-location sampling
dc.subject.otherdonors
dc.subject.otherBayesian models
dc.titleMethods to impute links in an indirect sample. "Sans domicile" survey Sd2001
dc.typeMaster thesis
dc.subject.lemacEstadística--Taules
dc.subject.amsClassificació AMS::62 Statistics::62D05 Sampling theory, sample surveys
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística


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