Cook's Distance

Cook's Distance is a statistical measure of influential observation that quantifies the effect of removing a given data point on the estimated coefficients in regression analysis, thereby identifying outliers by assessing the change in the model's fit.

43

Publications

1.2K

Citations

97

Authors

63

Institutions

Publications per year

2017–2026

8

Authors

97

  1. GR
    G. R. Pasha

    Bahauddin Zakariya University, Pakistan

    2 publications · 25 citations

    2

    h-index

  2. WP
    Wai‐Yin Poon

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 20 citations

    2

    h-index

  3. SW
    Sanford Weisberg

    University of Minnesota, United States

    2 publications · 52 citations

    2

    h-index

  4. BW
    Bo‐Cheng Wei

    Southeast University, China

    2 publications · 53 citations

    2

    h-index

  5. MA
    Muhammad Aman Ullah

    Bahauddin Zakariya University, Pakistan

    2 publications · 25 citations

    2

    h-index

1–5 of 97

Venues

  1. 6

    h-index

  2. The Annals of Statistics

    3 publications · 86 citations

    3

    h-index

  3. Journal of Applied Statistics

    3 publications · 65 citations

    3

    h-index

  4. Technometrics

    2 publications · 52 citations

    2

    h-index

  5. Statistics & Probability Letters

    2 publications · 75 citations

    2

    h-index

1–5