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040 |aCaOODSP|beng|erda|cCaOODSP
043 |an-cn---
0861 |aCS11-522/2024-1-6E-PDF
1001 |aVerret, François, |eauthor.
24510|aReverse-engineering a hypothetical raking process for the estimation of mean squared error of raked small area estimates / |cby François Verret and Braedan Walker.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025.
300 |a1 online resource (11 unnumbered pages).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aTitle from cover.
500 |aIssued also in French under title: Ingénierie inverse d'un processus de réconciliation pour estimer l'erreur quadratique moyenne d'estimations sur petits domaines réconciliées.
504 |aIncludes bibliographical references.
5203 |a"Small area estimation is frequently used to produce estimates at a disaggregated level where direct survey estimation does not have sufficient sample to produce precise estimates. Often this is done using the area-level Fay-Herriot model, by assuming the direct estimates are independent under the design and have a known variance, and applying a smoothing process to the variance estimates of the direct estimates to better meet that last assumption"--Abstract, page [2].
650 0|aSmall area statistics|zCanada.
650 0|aAnalysis of covariance.
650 0|aBenchmarking (Management)|zCanada.
655 7|aStatistics|2lcgft
7102 |aStatistics Canada, |eissuing body.
77508|tIngénierie inverse d'un processus de réconciliation pour estimer l'erreur quadratique moyenne d'estimations sur petits domaines réconciliées / |w(CaOODSP)9.966420
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s411 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-6-eng.pdf
986 |a11-522-X