00000cam 2200000zi 4500 9.966886 CaOODSP 20261016152619 m o d f cr cn||||||||| 261016e20250908onc ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- CS11-522/2024-1-35E-PDF Khuu, Irwin, author. The usage of the Relief algorithm for edit and imputation in the Canadian census of population / by Irwin Khuu. [Ottawa] : Statistics Canada = Statistique Canada, September 8, 2025. 1 online resource (8 unnumbered pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Issued also in French under title: Utilisation de l'algorithme Relief pour la vérification et l'imputation dans le cadre du recensement de la population du Canada. At head of title: Proceedings of Statistics Canada Symposium 2024: The Future of Official Statistics. "Catalogue no. 11-522-X." Includes bibliographical references (page [8]). "Historically, the Canadian census of population Edit and Imputation (E&I) process has operated using a nearest-neighbour donor imputation methodology wherein the distance between a failed unit and a potential donor is obtained through a weighted combination of auxiliary variables. Revision to the model between cycles can be a complicated and time-consuming process given there is no standard approach to variable selection and weighting between topics. This paper will illustrate the potential of the Relief variable selection algorithm to create a machine learning-driven approach to variable selection and weighting that is standardized and comparable between census cycles and among the many topics of the census. An overview on how this process may be applied in practice will be presented, followed by results on several topics that indicate a general improvement over previous methods"--Abstract, page [2]. Algorithms. Machine learning. Canada Census Statistical methods. Statistics Canada, issuing body. Utilisation de l'algorithme Relief pour la vérification et l'imputation dans le cadre du recensement de la population du Canada / (CaOODSP)9.966888 Statistics Canada international symposium series - proceedings, 1709-8211. (CaOODSP)9.505681 PDF 366 KB https://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-35-eng.pdf 11-522-X