Resampling Methods

Resampling Methods is a statistical technique that involves repeatedly drawing samples from a given dataset to estimate the sampling distribution of a statistic, thereby enabling inference without reliance on parametric assumptions.

3.6K

Publications

366.1K

Citations

6.7K

Authors

2.1K

Institutions

Publications per year

2017–2026

942

Authors

6.7K

  1. PH
    Peter Hall

    Australian National University, Australia

    41 publications · 3.2K citations

    30

    h-index

  2. JP
    Joseph P. Romano

    Stanford University, United States

    23 publications · 5.8K citations

    22

    h-index

  3. DN
    Dimitris N. Politis

    University of California San Diego, United States

    27 publications · 5.6K citations

    22

    h-index

  4. TM
    Taghi M. Khoshgoftaar

    Florida Atlantic University, United States

    20 publications · 3.7K citations

    16

    h-index

  5. BE
    Bradley Efron

    Stanford University, United States

    17 publications · 9K citations

    16

    h-index

1–5 of 6.7K

Venues

  1. Journal of the American Statistical Association

    240 publications · 44K citations

    81

    h-index

  2. The Annals of Statistics

    120 publications · 38.1K citations

    57

    h-index

  3. Biometrika

    73 publications · 6.7K citations

    34

    h-index

  4. arXiv (Cornell University)

    Repository · 119 publications · 5.8K citations

    32

    h-index

  5. Biometrics

    49 publications · 6.4K citations

    31

    h-index

1–5