Eliminating small cells from census counts tables : empirical vs. design transition probabilities

The software SAFE has been developed at the State Statistical Institute Berlin-Brandenburg and has been in regular use there for several years now. It involves an algorithm that yields a controlled cell frequency perturbation. When a microdata set has been protected by this method, any table which c...

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Detalles Bibliográficos
Autores: Giessing, Sarah, Höhne, Jörg
Tipo de recurso: artículo
Fecha de publicación:2011
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:97848
Acceso en línea:https://ddd.uab.cat/record/97848
Access Level:acceso abierto
Palabra clave:Tabular data protection
Census Frequency Tables
SAFE
Post-tabular protection methods
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spelling Eliminating small cells from census counts tables : empirical vs. design transition probabilitiesGiessing, SarahHöhne, JörgTabular data protectionCensus Frequency TablesSAFEPost-tabular protection methodsThe software SAFE has been developed at the State Statistical Institute Berlin-Brandenburg and has been in regular use there for several years now. It involves an algorithm that yields a controlled cell frequency perturbation. When a microdata set has been protected by this method, any table which can be computed on the basis of this microdata set will not contain any small cells, e.g. cells with frequency counts 1 or 2. We compare empirically observed transition probabilities resulting from this pre-tabular method to transition matrices in the context of variants of microdata key based post-tabular random perturbation methods suggested in the literature, e.g. Shlomo, N., Young, C. (2008) and Fraser, B.,Wooton, J. (2006). 22011-01-0120112011-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/97848reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:978482026-06-06T12:50:31Z
dc.title.none.fl_str_mv Eliminating small cells from census counts tables : empirical vs. design transition probabilities
title Eliminating small cells from census counts tables : empirical vs. design transition probabilities
spellingShingle Eliminating small cells from census counts tables : empirical vs. design transition probabilities
Giessing, Sarah
Tabular data protection
Census Frequency Tables
SAFE
Post-tabular protection methods
title_short Eliminating small cells from census counts tables : empirical vs. design transition probabilities
title_full Eliminating small cells from census counts tables : empirical vs. design transition probabilities
title_fullStr Eliminating small cells from census counts tables : empirical vs. design transition probabilities
title_full_unstemmed Eliminating small cells from census counts tables : empirical vs. design transition probabilities
title_sort Eliminating small cells from census counts tables : empirical vs. design transition probabilities
dc.creator.none.fl_str_mv Giessing, Sarah
Höhne, Jörg
author Giessing, Sarah
author_facet Giessing, Sarah
Höhne, Jörg
author_role author
author2 Höhne, Jörg
author2_role author
dc.subject.none.fl_str_mv Tabular data protection
Census Frequency Tables
SAFE
Post-tabular protection methods
topic Tabular data protection
Census Frequency Tables
SAFE
Post-tabular protection methods
description The software SAFE has been developed at the State Statistical Institute Berlin-Brandenburg and has been in regular use there for several years now. It involves an algorithm that yields a controlled cell frequency perturbation. When a microdata set has been protected by this method, any table which can be computed on the basis of this microdata set will not contain any small cells, e.g. cells with frequency counts 1 or 2. We compare empirically observed transition probabilities resulting from this pre-tabular method to transition matrices in the context of variants of microdata key based post-tabular random perturbation methods suggested in the literature, e.g. Shlomo, N., Young, C. (2008) and Fraser, B.,Wooton, J. (2006).
publishDate 2011
dc.date.none.fl_str_mv 2
2011-01-01
2011
2011-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
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dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/97848
url https://ddd.uab.cat/record/97848
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
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eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
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reponame_str Dipòsit Digital de Documents de la UAB
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