Ordinal Log-linear Models

Ordinal Log-Linear Models is a type of log-linear model that incorporates the ordered nature of categorical variables by structuring associations through ordered categories, thereby distinguishing it from standard log-linear models that treat associations as purely nominal.

80

Publications

7.7K

Citations

135

Authors

90

Institutions

Publications per year

2017–2026

8

Authors

135

  1. AA
    Alan Agresti

    University of Florida, United States

    11 publications · 3.2K citations

    11

    h-index

  2. CC
    Clifford C. Clogg

    Pennsylvania State University, United States

    4 publications · 1K citations

    4

    h-index

  3. JD
    James Davis

    United States Geological Survey, United States

    2 publications · 227 citations

    2

    h-index

  4. SJ
    Shelby J. Haberman

    Educational Testing Service, United States

    2 publications · 27 citations

    2

    h-index

  5. TM
    Torrin M. Liddell

    Indiana University Bloomington, United States

    2 publications · 749 citations

    2

    h-index

1–5 of 135

Venues

  1. Journal of the American Statistical Association

    8 publications · 2.1K citations

    8

    h-index

  2. Technometrics

    4 publications · 497 citations

    4

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 4 publications · 316 citations

    4

    h-index

  4. Biometrical Journal

    3 publications · 39 citations

    3

    h-index

  5. Biometrika

    3 publications · 149 citations

    3

    h-index

1–5