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.
- Ratio imputation
- Regression imputation
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty