Robust Generalized Linear Models

Robust Generalized Linear Models is a class of statistical models that extends generalized linear models by incorporating methods resistant to outliers and violations of distributional assumptions, thereby providing reliable parameter estimation and inference under model misspecification or contaminated data.

61

Publications

3.4K

Citations

120

Authors

94

Institutions

Publications per year

2017–2026

10

Authors

120

  1. SK
    Sanjoy K. Sinha

    Carleton University, Canada

    4 publications · 148 citations

    4

    h-index

  2. ER
    Elvezio Ronchetti

    University of Geneva, Switzerland

    3 publications · 464 citations

    3

    h-index

  3. XX
    Xiaojian Xu

    Brock University, Canada

    3 publications · 49 citations

    3

    h-index

  4. GB
    Graciela Boente

    Universidad de Buenos Aires, Argentina

    2 publications · 41 citations

    2

    h-index

  5. VJ
    Vı́ctor J. Yohai

    Universidad de Buenos Aires, Argentina

    2 publications · 89 citations

    2

    h-index

1–5 of 120

Venues

  1. 5

    h-index

  2. Journal of Statistical Planning and Inference

    4 publications · 99 citations

    4

    h-index

  3. Journal of Quality Technology

    4 publications · 248 citations

    4

    h-index

  4. Biometrika

    4 publications · 178 citations

    4

    h-index

  5. Technometrics

    4 publications · 176 citations

    4

    h-index

1–5