Counting Error Analysis

Counting Error Analysis is a statistical methodology used in experimental sciences to quantify and evaluate the uncertainty associated with discrete event counts, distinguished by its focus on the inherent variability of stochastic counting processes and the propagation of such errors in derived quantities.

75

Publications

3.7K

Citations

182

Authors

78

Institutions

Publications per year

2017–2026

11

Authors

182

  1. MR
    Meyer Rubin

    United States Geological Survey, United States

    7 publications · 184 citations

    7

    h-index

  2. EC
    Elliott C. Spiker

    United States Geological Survey, United States

    4 publications · 63 citations

    4

    h-index

  3. BL
    Betsy Levin

    United States Geological Survey, United States

    3 publications · 121 citations

    3

    h-index

  4. PC
    Patricia C. Ives

    United States Geological Survey, United States

    3 publications · 121 citations

    3

    h-index

  5. LK
    Lea Kelley

    United States Geological Survey, United States

    2 publications · 25 citations

    2

    h-index

1–5 of 182

Venues

  1. Radiocarbon

    12 publications · 372 citations

    12

    h-index

  2. 2

    h-index

  3. 2

    h-index

  4. Journal of Clinical Investigation

    JCI · 2 publications · 597 citations

    2

    h-index

  5. Mathematical Geology

    2 publications · 38 citations

    2

    h-index

1–5