Jackknife variance estimator with reimputation for randomly imputed survey data

Hiroshi Saigo, R. R. Sitter

    Research output: Contribution to journalArticle


    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 languageEnglish
    Pages (from-to)321-331
    Number of pages11
    JournalStatistics and Probability Letters
    Issue number3
    Publication statusPublished - 2005 Jul 1



    • Hotdeck
    • Ratio imputation
    • Regression imputation
    • Resampling

    ASJC Scopus subject areas

    • Statistics, Probability and Uncertainty
    • Statistics and Probability

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