00000nam 2200000zi 4500 9.942401 CaOODSP 20240829120444 m o d f cr cn||||||||| 240826e20240325oncd ob f000 0 eng d CaOODSP eng rda CaOODSP CS11-522/2022-1-2E-PDF Cleaton, Mary, author. A case study of using Splink : census duplicate matching / by Mary Cleaton, Johanna Hall, Rachel Shipsey, Zoe White and Kristina Xhaferaj. At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. 1 online resource (10 unnumbered pages) : graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Cover title. Issued also in French under title: Étude de cas de l'utilisation de Splink : couplage du recensement pour trouver des doublons. Includes bibliographical references. "The authors used the Splink probabilistic linkage package developed by the UK Ministry of Justice, to link census data from England and Wales to itself to find duplicate census responses. A large gold standard of confirmed census duplicates was available meaning that the results of the Splink implementation could be quality assured. This paper describes the implementation and features of Splink, gives details of the settings and parameters that we used to tune Splink for our particular project, and gives the results that we obtained"--Abstract. Information storage and retrieval systems Census. Probabilistic automata. Expectation-maximization algorithms. Statistical matching. Statistics Canada, issuing body. Étude de cas de l'uilisation de Splink : (CaOODSP)9.942404 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 554 KB https://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-2-eng.pdf 11-522-X