| 000 | 00000cam 2200000zi 4500 |
| 001 | 9.966895 |
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| 003 | CaOODSP |
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| 005 | 20261019102501 |
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| 006 | m o d f |
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| 007 | cr |n||||||||| |
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| 008 | 261019e202509##onc o f|0| 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aCS11-522/2024-1-27E-PDF |
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| 100 | 1 |aKay, Francesca, |eauthor. |
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| 245 | 10|aOne-stop-shop for artificial intelligence and machine learning for official statistics / |cby Francesca Kay. |
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| 246 | 1 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics |
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| 264 | 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025. |
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| 300 | |a1 online resource (8 unnumbered pages). |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |a[Statistics Canada international symposium series : proceedings], |x1709-8211 |
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| 500 | |aIssued also in French under title: Boutique multiservice d’intelligence artificielle et d’apprentissage automatique pour les statistiques officielles. |
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| 520 | |a"Several challenges encountered when constructing U.S. administrative record-based (AR-based) population estimates for 2020 are identified. They include locational accuracy, person coverage and its consistency over time, filtering out non-residents and people not alive on the reference date, uncovering missing links across person and address records, and predicting demographic characteristics. Several ways to address these issues are discussed. Regression results illustrate how the challenges and solutions affect the AR-based county population estimates"--Abstract, page [2]. |
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| 650 | 0|aArtificial intelligence. |
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| 650 | 0|aMachine learning. |
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| 650 | 0|aPopulation|vStatistics. |
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| 655 | 7|aStatistics|2lcgft |
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| 710 | 2 |aStatistics Canada, |eissuing body. |
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| 775 | 08|tBoutique multiservice d’intelligence artificielle et d’apprentissage automatique pour les statistiques officielles / |w(CaOODSP)9.966898 |
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| 830 | #0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681 |
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| 856 | 40|qPDF|s523 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-27-eng.pdf |
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| 986 | |a11-522-X |
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