High-leverage Point Detection

High-Leverage Point Detection is a methodological procedure in regression diagnostics that identifies data points exerting disproportionate influence on the estimated coefficients of a model by virtue of their extreme explanatory variable values.

26

Publications

1.6K

Citations

41

Authors

21

Institutions

Publications per year

2017–2026

2

Authors

41

  1. HM
    Habshah Midi

    Universiti Putra Malaysia, Malaysia

    5 publications · 89 citations

    5

    h-index

  2. AH
    A. H. M. Rahmatullah Imon

    Ball State University, United States

    5 publications · 151 citations

    5

    h-index

  3. AB
    Arezoo Bagheri

    Universiti Putra Malaysia, Malaysia

    3 publications · 47 citations

    3

    h-index

  4. AS
    Ali S. Hadi

    Cornell University, United States

    3 publications · 884 citations

    3

    h-index

  5. SC
    Samprit Chatterjee

    New York University, United States

    2 publications · 870 citations

    2

    h-index

1–5 of 41

Venues

  1. Statistical Science

    6 publications · 952 citations

    6

    h-index

  2. Journal of Applied Statistics

    4 publications · 142 citations

    4

    h-index

  3. 2

    h-index

  4. Journal of Applied Sciences

    2 publications · 31 citations

    2

    h-index

  5. 2

    h-index

1–5