dc.contributor.author | Steinbakk, Gunnhildur Högnadóttir | |
dc.contributor.author | Langsrud, Øyvind | |
dc.contributor.author | Løland, Anders | |
dc.date.accessioned | 2021-03-16T08:36:28Z | |
dc.date.available | 2021-03-16T08:36:28Z | |
dc.date.created | 2020-09-25T09:19:16Z | |
dc.date.issued | 2020-07-01 | |
dc.identifier.uri | https://hdl.handle.net/11250/2733526 | |
dc.description.abstract | The access of quality data is valuable, and there is an increased attention to sharing data within the public sector and to other actors. Synthesising the data can be a way that satisfies both the requirements of preserving information value and privacy, which is necessary to enable efficient and safe data sharing. We give a summary of important references, relevant for Statistics Norway and other national statistics institutes, for generating synthetic data for (essentially) statistical purposes. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Norsk Regnesentral | en_US |
dc.relation.ispartof | NR-notat | |
dc.relation.ispartofseries | NR-notat; | |
dc.rights | Navngivelse-DelPåSammeVilkår 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/deed.no | * |
dc.subject | Statistical disclosure | en_US |
dc.subject | Imputation | en_US |
dc.subject | Categorical data | en_US |
dc.subject | Microdata | en_US |
dc.subject | Masking | en_US |
dc.subject | Utility measures | en_US |
dc.title | A brief overview of methods for synthetic data for official statistics | en_US |
dc.type | Report | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © Copyright: Norsk Regnesentral | en_US |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412 | en_US |
dc.source.pagenumber | 22 | en_US |
dc.source.issue | SAMBA/23/20 | en_US |
dc.identifier.cristin | 1833300 | |
dc.relation.project | Norges forskningsråd: 237718 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |