Random Uncertainty Analysis

Random Uncertainty Analysis is a methodological framework within dose uncertainty analysis that quantifies variability arising from stochastic fluctuations in measurement or simulation by characterizing the precision of dose estimates through statistical dispersion under repeated sampling conditions.

54

Publications

1.6K

Citations

187

Authors

95

Institutions

Publications per year

2017–2026

23

Authors

187

  1. CG
    Chunbiao Gan

    Zhejiang University, China

    3 publications · 66 citations

    3

    h-index

  2. SY
    Shixi Yang

    Zhejiang University, China

    2 publications · 55 citations

    2

    h-index

  3. CG
    Clyde Gumbert

    Langley Research Center, United States

    2 publications · 68 citations

    2

    h-index

  4. PA
    Perry A. Newman

    Langley Research Center, United States

    2 publications · 68 citations

    2

    h-index

  5. GH
    Gene Hou

    Old Dominion University, United States

    2 publications · 68 citations

    2

    h-index

1–5 of 187

Venues

  1. Atmospheric measurement techniques

    3 publications · 116 citations

    3

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 52 citations

    2

    h-index

  3. Information Sciences

    2 publications · 148 citations

    2

    h-index

  4. Journal of Atmospheric and Oceanic Technology

    2 publications · 25 citations

    2

    h-index

  5. British Journal of Radiology

    BJR · 2 publications · 56 citations

    2

    h-index

1–5