Small-sample Corrections

Small-Sample Corrections is a methodological adjustment within categorical goodness-of-fit testing that modifies test statistics or their distributions to maintain valid inference when sample sizes are insufficient for standard asymptotic approximations to hold.

74

Publications

7.7K

Citations

150

Authors

106

Institutions

Publications per year

2017–2026

15

Authors

150

  1. JE
    James E. Pustejovsky

    The University of Texas at Austin, United States

    5 publications · 620 citations

    5

    h-index

  2. DM
    Daniel McNeish

    Arizona State University, United States

    4 publications · 919 citations

    4

    h-index

  3. ET
    Elizabeth Tipton

    Columbia University, United States

    4 publications · 1.2K citations

    4

    h-index

  4. SJ
    Søren Johansen

    University of Copenhagen, Denmark

    3 publications · 456 citations

    3

    h-index

  5. SL
    Silvia L. P. Ferrari

    Universidade de São Paulo, Brazil

    2 publications · 73 citations

    2

    h-index

1–5 of 150

Venues

  1. Journal of Statistical Computation and Simulation

    JSCS · 4 publications · 224 citations

    4

    h-index

  2. Statistical Methods in Medical Research

    3 publications · 159 citations

    3

    h-index

  3. Biometrics

    3 publications · 355 citations

    3

    h-index

  4. Biometrika

    3 publications · 234 citations

    3

    h-index

  5. Psychological Methods

    2 publications · 764 citations

    2

    h-index

1–5