Statistical Modeling

Statistical modeling is a quantitative method that constructs mathematical representations of relationships among variables in data to facilitate inference, parameter estimation, and prediction.

43.9K

Publications

5.4M

Citations

61.7K

Authors

9.5K

Institutions

Publications per year

2017–2026

9K

Authors

61.7K

  1. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    122 publications · 13.7K citations

    59

    h-index

  2. RD
    R. Dennis Cook

    University of Minnesota, United States

    86 publications · 16.1K citations

    49

    h-index

  3. PM
    Peter M. Bentler

    University of California, Los Angeles, United States

    77 publications · 176.4K citations

    48

    h-index

  4. JF
    Jianqing Fan

    Princeton University, United States

    70 publications · 27.5K citations

    47

    h-index

  5. DR
    David Ruppert

    Cornell University, United States

    72 publications · 14.6K citations

    44

    h-index

1–5 of 61.7K

Venues

  1. Journal of the American Statistical Association

    2.3K publications · 513.9K citations

    306

    h-index

  2. Technometrics

    1.1K publications · 317K citations

    216

    h-index

  3. The Annals of Statistics

    684 publications · 137.7K citations

    165

    h-index

  4. 160

    h-index

  5. Biometrics

    694 publications · 180.9K citations

    149

    h-index

1–5

See also

Statistical Modeling

Core Methods

Model Selection

Assumptions

Diagnostics

Applications