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040 |aCaOODSP|beng|erda|cCaOODSP
0861 |aCS11-522/2022-1-3E-PDF
1001 |aErciulescu, Andreea L., |eauthor.
24512|aA model-based disaggregation method for estimation of adult competency / |cby Andreea L. Erciulescu, Weijia Ren, Jianzhu Li, Tom Krenzke, Leyla Mohadjer and Robert Fay.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2022 : |bdata disaggregation : building a more representative data portrait of society
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cMarch 25, 2024.
300 |a1 online resource (7 unnumbered pages) : |bmaps, graphs.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aCover title.
500 |aIssued also in French under title: Méthode de désagrégation fondée sur un modèle pour l'estimation des compétences des adultes.
504 |aIncludes bibliographical references.
5203 |a"Estimation at fine levels of aggregation is necessary to better describe society. Small area estimation model-based approaches that combine sparse survey data with rich data from auxiliary sources have been proven useful to improve the reliability of estimates for small domains. Considered here is a scenario where small area model-based estimates, produced at a given aggregation level, needed to be disaggregated to better describe the social structure at finer levels. For this scenario, an allocation method was developed to implement the disaggregation, overcoming challenges associated with data availability and model development at such fine levels"--Abstract.
650 0|aSmall area statistics.
650 0|aEstimation theory.
7102 |aStatistics Canada, |eissuing body.
77508|tMéthode de désagrégation fondée sur un modèle pour l'estimation des compétences des adultes / |w(CaOODSP)9.942414
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s393 KB|uhttps://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-3-eng.pdf