Winsorization

Winsorization is an outlier treatment method that replaces extreme values in a dataset with less extreme, percentile-based threshold values to reduce the influence of outliers without removing them entirely.

26

Publications

1.9K

Citations

56

Authors

37

Institutions

Publications per year

2017–2026

4

Authors

56

  1. JW
    John W. Tukey

    Princeton University, United States

    3 publications · 427 citations

    3

    h-index

  2. WJ
    W. J. Dixon

    University of California, Los Angeles, United States

    2 publications · 297 citations

    2

    h-index

  3. MM
    Miguel Minutti‐Meza

    University of Miami, United States

    2 publications · 475 citations

    2

    h-index

  4. CY
    Coralee Yale

    University of California, Los Angeles, United States

    2 publications · 57 citations

    2

    h-index

  5. CE
    Charles E. Wasley

    University of Rochester, United States

    2 publications · 475 citations

    2

    h-index

1–5 of 56

Venues

  1. Technometrics

    5 publications · 389 citations

    5

    h-index

  2. Journal of Official Statistics

    JOS · 1 publications · 13 citations

    1

    h-index

  3. Neural Computing and Applications

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Journal of Business Finance &amp Accounting

    1 publications · 20 citations

    1

    h-index

1–5