Jackknife variance estimator with reimputation for randomly imputed survey data

Hiroshi Saigo, R. R. Sitter

    Research output: Contribution to journalArticle

    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 languageEnglish
    Pages (from-to)321-331
    Number of pages11
    JournalStatistics and Probability Letters
    Volume73
    Issue number3
    DOIs
    Publication statusPublished - 2005 Jul 1

    Fingerprint

    Jackknife
    Variance Estimator
    Survey Data
    Imputation
    Rescaling
    Inconsistent
    Deletion
    Unit
    Survey data
    Estimator

    Keywords

    • Hotdeck
    • Ratio imputation
    • Regression imputation
    • Resampling

    ASJC Scopus subject areas

    • Statistics, Probability and Uncertainty
    • Statistics and Probability

    Cite this

    Jackknife variance estimator with reimputation for randomly imputed survey data. / Saigo, Hiroshi; Sitter, R. R.

    In: Statistics and Probability Letters, Vol. 73, No. 3, 01.07.2005, p. 321-331.

    Research output: Contribution to journalArticle

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