Overcount Estimation

Overcount Estimation is a statistical metric used in census data collection and household enumeration that quantifies the extent to which individuals are counted more than once within a population survey, distinguishing it from other error estimation methods by specifically measuring duplicative inclusions in the enumerated count.

25

Publications

946

Citations

50

Authors

32

Institutions

Publications per year

2017–2026

1

Authors

50

  1. HH
    Howard Hogan

    United States Census Bureau, United States

    4 publications · 256 citations

    4

    h-index

  2. JB
    James Brown

    University of Southampton, United Kingdom

    2 publications · 89 citations

    2

    h-index

  3. ID
    Ian Diamond

    Office for National Statistics, United Kingdom

    2 publications · 89 citations

    2

    h-index

  4. NC
    Noel Cressie

    Iowa State University, United States

    2 publications · 63 citations

    2

    h-index

  5. DV
    David Voas

    University College London, United Kingdom

    1 publications · 11 citations

    1

    h-index

1–5 of 50

Venues

  1. 5

    h-index

  2. 2

    h-index

  3. The American Statistician

    2 publications · 57 citations

    2

    h-index

  4. Biometrics

    1 publications · 31 citations

    1

    h-index

  5. Population Space and Place

    1 publications · 11 citations

    1

    h-index

1–5