Variance Reduction Assessment

Variance Reduction Assessment is a methodological contribution in the field of estimation validation that systematically evaluates the extent to which a given technique decreases variability in estimator outputs relative to a baseline, thereby distinguishing it from other validation approaches by its specific focus on quantifying precision improvements.

141

Publications

6.9K

Citations

345

Authors

196

Institutions

Publications per year

2017–2026

17

Authors

345

  1. GS
    George S. Fishman

    University of North Carolina at Chapel Hill, United States

    4 publications · 302 citations

    4

    h-index

  2. JC
    John C. Wagner

    Oak Ridge National Laboratory, United States

    3 publications · 135 citations

    3

    h-index

  3. BL
    Barry L. Nelson

    Northwestern University, United States

    2 publications · 178 citations

    2

    h-index

  4. LI
    Leonid Iosipoi

    National Research University Higher School of Economics, Russia

    2 publications · 36 citations

    2

    h-index

  5. JH
    J.E. Hoogenboom

    Delft University of Technology, Netherlands

    2 publications · 91 citations

    2

    h-index

1–5 of 345

Venues

  1. Operations Research

    8 publications · 679 citations

    8

    h-index

  2. Nuclear Science and Engineering

    6 publications · 184 citations

    6

    h-index

  3. Journal of Computational Physics

    4 publications · 123 citations

    4

    h-index

  4. Statistics in Medicine

    4 publications · 344 citations

    4

    h-index

  5. Annals of Nuclear Energy

    3 publications · 106 citations

    3

    h-index

1–5