Sampling Distributions

Sampling Distributions is the probability distribution of a given statistic, such as the mean or variance, derived from repeated random samples of a fixed size drawn from a population, which characterizes the variability of the statistic across samples.

258

Publications

22.1K

Citations

444

Authors

236

Institutions

Publications per year

2017–2026

21

Variants

Sampling Distribution

Authors

444

  1. YS
    Yun S. Song

    University of California, Berkeley, United States

    4 publications · 112 citations

    4

    h-index

  2. LV
    Larry V. Hedges

    University of Chicago, United States

    3 publications · 631 citations

    3

    h-index

  3. RR
    Rand R. Wilcox

    University of Southern California, United States

    3 publications · 140 citations

    3

    h-index

  4. PA
    Paul A. Jenkins

    University of Warwick, United Kingdom

    3 publications · 92 citations

    3

    h-index

  5. DG
    D. G. Kabe

    Saint Mary's University, Canada

    3 publications · 61 citations

    3

    h-index

1–5 of 444

Venues

  1. Journal of the American Statistical Association

    18 publications · 2.8K citations

    15

    h-index

  2. The Annals of Mathematical Statistics

    11 publications · 1.1K citations

    11

    h-index

  3. Biometrika

    10 publications · 561 citations

    10

    h-index

  4. Applied Psychological Measurement

    7 publications · 251 citations

    7

    h-index

  5. arXiv (Cornell University)

    Repository · 7 publications · 169 citations

    7

    h-index

1–5