Delete-group Jackknife

Delete-Group Jackknife is a resampling technique that belongs to the broader class of jackknife estimators, distinguished by systematically omitting predefined groups of observations—rather than individual data points—from the sample to assess the influence of group-level subsets on parameter estimates.

8

Publications

325

Citations

12

Authors

10

Institutions

Publications per year

2017–2026

0

Variants

Grouped Jackknife

Authors

12

  1. PS
    Phillip S. Kott

    National Agricultural Statistics Service, United States

    2 publications · 78 citations

    2

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  2. HA
    Houshmand A. Ziari

    Texas A&M University, United States

    1 publications · 21 citations

    1

    h-index

  3. LX
    Liang Xu

    Southeast University, China

    1 publications · 30 citations

    1

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  4. PN
    Paul N. Ellinger

    University of Illinois Urbana-Champaign, United States

    1 publications · 21 citations

    1

    h-index

  5. JJ
    Jiming Jiang

    University of California, Davis, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 12

Venues

  1. Canadian Journal of Statistics

    CJS · 1 publications · 53 citations

    1

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  2. RePEc: Research Papers in Economics

    Repository · 1 publications · 66 citations

    1

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  3. American Journal of Agricultural Economics

    1 publications · 21 citations

    1

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  4. Theory of Probability and Its Applications

    1 publications · 25 citations

    1

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  5. The Annals of Statistics

    1 publications · 100 citations

    1

    h-index

1–5