Abstract
Reimputing after each deletion of a unit in the jackknife is known to lead to inconsistent variance estimators in the presence of random imputation in complex surveys. We use rescaling to adjust the reimputation and show that the resulting variance estimator performs somewhat better than the adjusted jackknife variance estimator.
| Original language | English |
|---|---|
| Pages (from-to) | 321-331 |
| Number of pages | 11 |
| Journal | Statistics and Probability Letters |
| Volume | 73 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2005 Jul 1 |
Keywords
- Hotdeck
- Ratio imputation
- Regression imputation
- Resampling
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
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Saigo, H., & Sitter, R. R. (2005). Jackknife variance estimator with reimputation for randomly imputed survey data. Statistics and Probability Letters, 73(3), 321-331. https://doi.org/10.1016/j.spl.2005.04.006