Area-level Models

Area-Level Models is a statistical modeling framework in small area estimation that belongs to the class of indirect estimation methods by leveraging aggregated data at the area or domain level, distinguished from unit-level models through its reliance on area-specific summary statistics rather than individual-level observations to produce efficient estimates for subpopulations.

374

Publications

19.2K

Citations

1.2K

Authors

587

Institutions

Publications per year

2017–2026

120

Variants

Area-level Small Area Models

Authors

1.2K

  1. JN
    J. N. K. Rao

    Carleton University, Canada

    17 publications · 1.1K citations

    15

    h-index

  2. DM
    Domingo Morales

    Universitat de Miguel Hernández d'Elx, Spain

    13 publications · 672 citations

    13

    h-index

  3. GS
    Gauri Sankar Datta

    University of Georgia, United States

    9 publications · 489 citations

    9

    h-index

  4. IM
    Isabel Molina

    Universidad Carlos III de Madrid, Spain

    8 publications · 666 citations

    8

    h-index

  5. MT
    Mahmoud Torabi

    University of Manitoba, Canada

    7 publications · 173 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. 12

    h-index

  2. PLoS ONE

    11 publications · 234 citations

    11

    h-index

  3. Environment and Planning A Economy and Space

    6 publications · 478 citations

    6

    h-index

  4. Scandinavian Journal of Statistics

    5 publications · 194 citations

    5

    h-index

  5. Remote Sensing of Environment

    5 publications · 627 citations

    5

    h-index

1–5