Winsorized Estimation

Winsorized Estimation is a robust statistical method that modifies extreme values in a dataset by setting them to a specified percentile-based threshold rather than removing them, thereby reducing the influence of outliers while preserving the original data structure.

27

Publications

1.3K

Citations

43

Authors

36

Institutions

Publications per year

2017–2026

1

Authors

43

  1. RR
    Rand R. Wilcox

    University of Southern California, United States

    4 publications · 203 citations

    4

    h-index

  2. LM
    Lisa M. Lix

    University of Manitoba, Canada

    3 publications · 152 citations

    3

    h-index

  3. CY
    Coralee Yale

    University of California, Los Angeles, United States

    2 publications · 57 citations

    2

    h-index

  4. WJ
    W. J. Dixon

    University of California, Los Angeles, United States

    2 publications · 297 citations

    2

    h-index

  5. HJ
    H. J. Keselman

    University of Manitoba, Canada

    2 publications · 139 citations

    2

    h-index

1–5 of 43

Venues

  1. Technometrics

    5 publications · 389 citations

    5

    h-index

  2. 4

    h-index

  3. Neural Computing and Applications

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Social Indicators Research

    1 publications · 22 citations

    1

    h-index

1–5