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Reverse-engineering a hypothetical raking process for the estimation of mean squared error of raked small area estimates / by François Verret and Braedan Walker.: CS11-522/2024-1-6E-PDF

"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].

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.966419&sl=0

Publication information
Department/Agency
  • Statistics Canada, issuing body.
TitleReverse-engineering a hypothetical raking process for the estimation of mean squared error of raked small area estimates / by François Verret and Braedan Walker.
Variant title
  • At head of title: Proceedings of Statistics Canada Symposium 2024 : the future of official statistics
Series title
  • [Statistics Canada international symposium series : proceedings], 1709-8211
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • Title from cover.
  • Issued also in French under title: Ingénierie inverse d'un processus de réconciliation pour estimer l'erreur quadratique moyenne d'estimations sur petits domaines réconciliées.
  • Includes bibliographical references.
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, September 8, 2025.
Author / Contributor
  • Verret, François, author.
Description1 online resource (11 unnumbered pages).
Catalogue number
  • CS11-522/2024-1-6E-PDF
Departmental catalogue number11-522-X
Subject terms
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