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dc.contributor.authorGouweleeuw, José
dc.contributor.authorKooiman, Peter
dc.contributor.authorWillenborg, Leon
dc.contributor.authorWolf, Paul P. de
dc.date.accessioned2008-03-14T17:16:46Z
dc.date.available2008-03-14T17:16:46Z
dc.date.issued1998
dc.identifier.citationGouweleeuw, José; Kooiman, Peter; Willenborg, Leon; De Wolf, Paul P. "The post randomisation method for protecting microdata". Qüestiió. 1998, vol.22, núm.1
dc.identifier.issn0210-8054 (versió paper)
dc.identifier.urihttp://hdl.handle.net/2099/4650
dc.description.abstractThis paper describes the Post Randomisation Method (PRAM) for disclosure protection of microdata. Applying PRAM means that for each record in the data file according to a specified probability mechanism the score on a number of variables is changed. Since this probability mechanism is known, the characteristics of the latent true data can unbiasedly be estimated from the observed data moments in the perturbed file. PRAM is applied to categorical variables. It is shown that both cross-tabulation and standard multivariate analysis techniques can easily be adapted to account for PRAM. It only requires pre-multiplication by the transpose of the inverted Markov transition matrix, specifying the randomisation process. Also, estimates for the additional variance introduced by PRAM are given. By a proper choice of the transition probabilities, PRAM can be applied in such a way that certain chosen marginal distributions in the original file are left invariant in expectation. In that case the perturbed data can be used as if it were the original data. We describe how to obtain such an invariant PRAM process. Finally, some consequences of using PRAM in practice are discussed. The present paper is a shortened version of Kooiman et al. (1997).
dc.format.extent12 p.
dc.language.isoeng
dc.publisherInstitut d'estadística de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.subject.lcshStatistics
dc.subject.otherMarkov matrix
dc.subject.otherPost randomisation method (PRAM)
dc.subject.otherDisclosure
dc.subject.otherRandomised response
dc.subject.otherInvariant matrix
dc.subject.otherPerturbed data
dc.subject.otherData swapping
dc.titleThe post randomisation method for protecting microdata
dc.title.alternativeEl método de la postaleatorización para protección de microdatos
dc.typeArticle
dc.subject.lemacAplicacions (Matemàtica)
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
local.ordre9
local.personalitzacitaciotrue


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