Grouped Data Analysis

Grouped Data Analysis is a statistical method that organizes and summarizes raw data into intervals or classes, enabling the examination of distributional patterns and central tendencies when individual data points are not analyzed separately.

527

Publications

65.2K

Citations

1.1K

Authors

560

Institutions

Publications per year

2017–2026

66

Authors

1.1K

  1. SH
    Stefan H. Steiner

    University of Waterloo, Canada

    5 publications · 175 citations

    5

    h-index

  2. JL
    Joseph L. Gastwirth

    George Washington University, United States

    5 publications · 91 citations

    5

    h-index

  3. PL
    P. Lee Geyer

    McMaster University, Canada

    4 publications · 138 citations

    4

    h-index

  4. PJ
    Peter J. Rousseeuw

    University of Antwerp, Belgium

    4 publications · 4.6K citations

    4

    h-index

  5. GO
    George O. Wesolowsky

    McMaster University, Canada

    4 publications · 138 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. Journal of the American Statistical Association

    35 publications · 6.8K citations

    20

    h-index

  2. Biometrics

    23 publications · 2.4K citations

    19

    h-index

  3. Technometrics

    25 publications · 4.3K citations

    18

    h-index

  4. Biometrika

    11 publications · 328 citations

    11

    h-index

  5. 7

    h-index

1–5