Jackknife variance estimator with reimputation for randomly imputed survey data

Hiroshi Saigo, R. R. Sitter

    Research output: Contribution to journal › Article

    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 journal › Article

    Saigo, H & Sitter, RR 2005, 'Jackknife variance estimator with reimputation for randomly imputed survey data', Statistics and Probability Letters, vol. 73, no. 3, pp. 321-331. https://doi.org/10.1016/j.spl.2005.04.006
    Saigo H, Sitter RR. Jackknife variance estimator with reimputation for randomly imputed survey data. Statistics and Probability Letters. 2005 Jul 1;73(3):321-331. https://doi.org/10.1016/j.spl.2005.04.006
    Saigo, Hiroshi ; Sitter, R. R. / Jackknife variance estimator with reimputation for randomly imputed survey data. In: Statistics and Probability Letters. 2005 ; Vol. 73, No. 3. pp. 321-331.
    @article{d0debb837b074458af1ebbec954cf4cf,
    title = "Jackknife variance estimator with reimputation for randomly imputed survey data",
    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.",
    keywords = "Hotdeck, Ratio imputation, Regression imputation, Resampling",
    author = "Hiroshi Saigo and Sitter, {R. R.}",
    year = "2005",
    month = "7",
    day = "1",
    doi = "10.1016/j.spl.2005.04.006",
    language = "English",
    volume = "73",
    pages = "321--331",
    journal = "Statistics and Probability Letters",
    issn = "0167-7152",
    publisher = "Elsevier",
    number = "3",

    }

    TY - JOUR

    T1 - Jackknife variance estimator with reimputation for randomly imputed survey data

    AU - Saigo, Hiroshi

    AU - Sitter, R. R.

    PY - 2005/7/1

    Y1 - 2005/7/1

    N2 - 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.

    AB - 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.

    KW - Hotdeck

    KW - Ratio imputation

    KW - Regression imputation

    KW - Resampling

    UR - http://www.scopus.com/inward/record.url?scp=20744452642&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=20744452642&partnerID=8YFLogxK

    U2 - 10.1016/j.spl.2005.04.006

    DO - 10.1016/j.spl.2005.04.006

    M3 - Article

    AN - SCOPUS:20744452642

    VL - 73

    SP - 321

    EP - 331

    JO - Statistics and Probability Letters

    JF - Statistics and Probability Letters

    SN - 0167-7152

    IS - 3

    ER -

    Access to Document