Standard Deviation Reduction

Standard Deviation Reduction is a statistical metric that quantifies the extent to which a given variable or model partition decreases the variability of a target variable relative to its original distribution, serving as a criterion for evaluating the effectiveness of segmentation or prediction strategies in variation reduction.

238

Publications

13.5K

Citations

898

Authors

352

Institutions

Publications per year

2017–2026

71

Authors

898

  1. EG
    E.V. Gijo

    Indian Statistical Institute, India

    3 publications · 260 citations

    3

    h-index

  2. RH
    Richard Harris

    University of Exeter, United Kingdom

    2 publications · 85 citations

    2

    h-index

  3. PZ
    Paul Zimmet

    Baker Heart and Diabetes Institute, Australia

    2 publications · 40 citations

    2

    h-index

  4. AV
    András Várhelyi

    Lund University, Sweden

    2 publications · 97 citations

    2

    h-index

  5. GD
    Gordon D. Logan

    Vanderbilt University, United States

    2 publications · 3.6K citations

    2

    h-index

1–5 of 898

Venues

  1. 5

    h-index

  2. 5

    h-index

  3. Applied Sciences

    4 publications · 94 citations

    4

    h-index

  4. 4

    h-index

  5. Journal of Analytical Atomic Spectrometry

    JAAS · 4 publications · 120 citations

    4

    h-index

1–5