Data-driven imputation strategies and their associated quality indicators in economic surveys / by Matei Mireuta, Ahalya Sivathayalan and Stephen Styles.: CS11-522/2024-1-11E-PDF
"The use of modern "data"-driven imputation methods to treat non-response in the context of surveys processed in the Integrated Business Statistics Program at Statistics Canada have previously been explored. It has been observed that these methods can lead to high quality imputation and further have the potential to result in broad efficiencies when setting up a particular survey's edit and imputation strategy. However, estimation of the associated total variance, more specifically the component due to imputation, remains a challenge. In this article, two methods for estimation of total variance are proposed and preliminary results are shown that gave motivation to pursue further research in this area"--Abstract, page [2].
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.966464&sl=0
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| Title | Data-driven imputation strategies and their associated quality indicators in economic surveys / by Matei Mireuta, Ahalya Sivathayalan and Stephen Styles. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Other language editions | [French] |
| Format | Digital text |
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| Description | 1 online resource (7 unnumbered pages) : illustrations, graphs. |
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| Departmental catalogue number | 11-522-X |
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