Small Area Smoothing

Small Area Smoothing is a statistical methodology within spatial smoothing that specifically refines estimates for small geographic areas by reducing noise and borrowing strength from neighboring regions to improve precision and reliability.

7

Publications

331

Citations

32

Authors

14

Institutions

Publications per year

2017–2026

1

Authors

32

  1. AD
    Abraham D. Flaxman

    University of Washington, United States

    1 publications · 120 citations

    1

    h-index

  2. AF
    Ana F. Militino

    Universidad Pública de Navarra (UPNA), Spain

    1 publications · 43 citations

    1

    h-index

  3. RC
    Rachel Carroll

    Medical University of South Carolina, United States

    1 publications · 21 citations

    1

    h-index

  4. AH
    Ali H. Mokdad

    Institute for Health Metrics and Evaluation, United States

    1 publications · 120 citations

    1

    h-index

  5. TO
    Tracy Onega

    Dartmouth College, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 32

Venues

  1. Journal of Regional Science

    JRS · 1 publications · 35 citations

    1

    h-index

  2. American Journal of Public Health

    JPH · 1 publications · 120 citations

    1

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 1 publications · 43 citations

    1

    h-index

  4. Epidemiology

    1 publications · 20 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 21 citations

    1

    h-index

1–5