Net Count Estimation

Net Count Estimation is a statistical method in counting statistics that quantifies the true signal count by differentiating the observed counts from background noise through subtraction of estimated background contributions.

9

Publications

574

Citations

31

Authors

13

Institutions

Publications per year

2017–2026

0

Authors

31

  1. SK
    Shankar Krishnamoorthy

    Synopsys (United States), United States

    2 publications · 279 citations

    2

    h-index

  2. JL
    Jinan Lou

    University of Southern California, United States

    2 publications · 279 citations

    2

    h-index

  3. HS
    Henry Sheng

    Synopsys (United States), United States

    2 publications · 279 citations

    2

    h-index

  4. JM
    John Mackey

    British Museum, United Kingdom

    1 publications · 12 citations

    1

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  5. MT
    María Teresa Spedicato

    University of Bari Aldo Moro, Italy

    1 publications · 18 citations

    1

    h-index

1–5 of 31

Venues

  1. Radiocarbon

    2 publications · 49 citations

    2

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  2. 1

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  3. Mediterranean Marine Science

    1 publications · 18 citations

    1

    h-index

  4. Health Physics

    1 publications · 11 citations

    1

    h-index

  5. 1

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1–5