Unit-level Models

"Unit-Level Model" is a statistical modeling framework in small area estimation that belongs to the class of hierarchical models and specifically incorporates individual-level (unit-level) data to improve area-specific parameter estimates by linking unit-level responses to area-level covariates through structured random effects.

96

Publications

7.5K

Citations

273

Authors

136

Institutions

Publications per year

2017–2026

27

Authors

273

  1. JN
    J. N. K. Rao

    Carleton University, Canada

    4 publications · 120 citations

    4

    h-index

  2. IM
    Isabel Molina

    Universidad Carlos III de Madrid, Spain

    2 publications · 170 citations

    2

    h-index

  3. RJ
    Ryan Janicki

    United States Census Bureau, United States

    2 publications · 33 citations

    2

    h-index

  4. DS
    David Steel

    University of Wollongong, Australia

    2 publications · 25 citations

    2

    h-index

  5. RB
    R. Billinton

    University of Saskatchewan, Canada

    2 publications · 42 citations

    2

    h-index

1–5 of 273

Venues

  1. JONA The Journal of Nursing Administration

    JNA · 4 publications · 197 citations

    4

    h-index

  2. Industrial & Engineering Chemistry Research

    4 publications · 90 citations

    4

    h-index

  3. IEEE Transactions on Power Systems

    3 publications · 224 citations

    3

    h-index

  4. AIChE Journal

    3 publications · 280 citations

    3

    h-index

  5. 2

    h-index

1–5