High-breakdown Estimation

High-Breakdown Estimation is a robust statistical method characterized by its ability to maintain accuracy and reliability even when a substantial proportion of the data is contaminated, distinguishing itself from other estimation techniques by possessing a breakdown point approaching 50%.

79

Publications

5.4K

Citations

86

Authors

70

Institutions

Publications per year

2017–2026

0

Authors

86

  1. CC
    Christophe Croux

    KU Leuven, Belgium

    7 publications · 660 citations

    7

    h-index

  2. SJ
    Simon J. Sheather

    UNSW Sydney, Australia

    7 publications · 171 citations

    7

    h-index

  3. PJ
    Peter J. Rousseeuw

    University of Antwerp, Belgium

    7 publications · 274 citations

    7

    h-index

  4. DM
    Douglas M. Hawkins

    University of Minnesota, United States

    7 publications · 396 citations

    7

    h-index

  5. JW
    Joseph W. McKean

    Western Michigan University, United States

    6 publications · 157 citations

    6

    h-index

1–5 of 86

Venues

  1. Journal of the American Statistical Association

    23 publications · 1.8K citations

    21

    h-index

  2. The Annals of Statistics

    5 publications · 915 citations

    5

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 3 publications · 125 citations

    3

    h-index

  4. Technometrics

    3 publications · 442 citations

    3

    h-index

  5. Statistics & Probability Letters

    3 publications · 87 citations

    3

    h-index

1–5