Robust Small Area Estimation

Robust Small Area Estimation is a statistical methodology within small area estimation that specifically addresses the challenge of producing reliable and stable estimates for subnational or subpopulation groups in the presence of outliers, model misspecification, or data contamination, by incorporating techniques designed to minimize the influence of aberrant observations while maintaining efficiency under standard assumptions.

53

Publications

2K

Citations

69

Authors

54

Institutions

Publications per year

2017–2026

8

Authors

69

  1. NS
    Nicola Salvati

    University of Pisa, Italy

    14 publications · 618 citations

    13

    h-index

  2. RC
    Ray Chambers

    University of Wollongong, Australia

    11 publications · 477 citations

    11

    h-index

  3. NT
    Nikos Tzavidis

    University of Southampton, United Kingdom

    10 publications · 425 citations

    10

    h-index

  4. MP
    Monica Pratesi

    University of Pisa, Italy

    7 publications · 297 citations

    7

    h-index

  5. PL
    Partha Lahiri

    University of Maryland, College Park, United States

    5 publications · 327 citations

    5

    h-index

1–5 of 69

Venues

  1. 4

    h-index

  2. Journal of Multivariate Analysis

    4 publications · 164 citations

    4

    h-index

  3. 4

    h-index

  4. Biometrika

    3 publications · 73 citations

    3

    h-index

  5. Canadian Journal of Statistics

    CJS · 3 publications · 167 citations

    3

    h-index

1–5