Jackknife variance estimator with reimputation for randomly imputed survey data
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.
Year of publication: |
2005
|
---|---|
Authors: | Saigo, H. ; Sitter, R.R. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 73.2005, 3, p. 321-331
|
Publisher: |
Elsevier |
Keywords: | Hotdeck Ratio imputation Regression imputation Resampling |
Saved in:
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