Application of sampling variance smoothing methods for small area proportion estimation / by Yong You and Mike Hidiroglou.: CS11-522/2022-1-5E-PDF
"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.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.942465&sl=0
| Department/Agency | Statistics Canada, issuing body. |
|---|---|
| Title | Application of sampling variance smoothing methods for small area proportion estimation / by Yong You and Mike Hidiroglou. |
| Variant title | At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society |
| Series title | [Statistics Canada international symposium series : proceedings], 1709-8211 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Other language editions | [French] |
| Format | Electronic |
| Electronic document | |
| Note(s) | 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). |
| Publishing information | [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024. |
| Author / Contributor | You, Yong, author. |
| Description | 1 online resource (7 pages). |
| Catalogue number |
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| Departmental catalogue number | 11-522-X |
| Subject terms | Sampling (Statistics) Small area statistics. |
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