00000nam 2200000zi 4500 9.942465 CaOODSP 20240829120416 m o d f cr cn||||||||| 240827e20240325onc ob f000 0 eng d CaOODSP eng rda CaOODSP CS11-522/2022-1-5E-PDF You, Yong, author. Application of sampling variance smoothing methods for small area proportion estimation / by Yong You and Mike Hidiroglou. 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 (7 pages). 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: Application de méthodes de lissage de la variance due à l'échantillonnage aux fins d'estimation sur petits domaines. Includes bibliographical references (pages 6-7). "Sampling variance smoothing is an important topic in small area estimation. In this paper, we propose sampling variance smoothing methods for small area proportion estimation. In particular, we consider the generalized variance function and design effect methods for sampling variance smoothing. We evaluate and compare the smoothed sampling variances and small area estimates based on the smoothed variance estimates through analysis of survey data from Statistics Canada. The results from real data analysis indicate that the proposed sampling variance smoothing methods work very well for small area estimation"--Abstract, page 1. Sampling (Statistics) Small area statistics. Statistics Canada, issuing body. Application de méthodes de lissage de la variance due à l'échantillonnage aux fins d'estimation sur petits domaines / (CaOODSP)9.942467 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 375 KB https://publications.gc.ca/collections/collection_2024/statcan/11-522-x/CS11-522-2022-1-5-eng.pdf 11-522-X