Expected Counts

Expected Counts is the theoretical frequency of observations in each category of a categorical variable, derived from a hypothesized probability distribution under a specified model, used as a basis for comparison with observed frequencies in goodness-of-fit testing.

55

Publications

2.9K

Citations

459

Authors

150

Institutions

Publications per year

2017–2026

18

Variants

Expected Frequencies

Authors

459

  1. SJ
    Shelby J. Haberman

    Educational Testing Service, United States

    3 publications · 322 citations

    3

    h-index

  2. AG
    Alison Gemmill

    Johns Hopkins University, United States

    1 publications · 13 citations

    2

    h-index

  3. RC
    Ralph Catalano

    University of California, Berkeley, United States

    1 publications · 13 citations

    2

    h-index

  4. TA
    Tim A. Bruckner

    University of California, Irvine, United States

    1 publications · 13 citations

    2

    h-index

  5. JA
    Joan A. Casey

    Columbia University, United States

    1 publications · 13 citations

    2

    h-index

1–5 of 459

Venues

  1. Statistics in Medicine

    3 publications · 310 citations

    3

    h-index

  2. The Annals of Applied Statistics

    AOAS · 1 publications · 52 citations

    2

    h-index

  3. Biometrics

    2 publications · 174 citations

    2

    h-index

  4. 2

    h-index

  5. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5