Domain Estimation

Domain Estimation is a statistical inference method in survey sampling that focuses on estimating population parameters within specific subpopulations, or domains, defined by categorical characteristics, thereby enabling targeted analysis while accounting for the sampling design and auxiliary information to improve precision.

45

Publications

1.9K

Citations

123

Authors

78

Institutions

Publications per year

2017–2026

9

Variants

Subpopulation Estimation

Authors

123

  1. CS
    Carl‐Erik Särndal

    Université de Montréal, Canada

    3 publications · 120 citations

    3

    h-index

  2. MH
    M. Hidiroglou

    Agriculture and Agri-Food Canada, Canada

    3 publications · 93 citations

    3

    h-index

  3. DH
    Dal Ho Kim

    Kyungpook National University, South Korea

    2 publications · 110 citations

    2

    h-index

  4. NJ
    Noel J. Purcell

    2 publications · 146 citations

    2

    h-index

  5. LK
    Leslie Kish

    University of Michigan, United States

    2 publications · 91 citations

    2

    h-index

1–5 of 123

Venues

  1. 6

    h-index

  2. SAR and QSAR in environmental research

    2 publications · 72 citations

    2

    h-index

  3. IEEE Transactions on Signal Processing

    1 publications · 91 citations

    1

    h-index

  4. Electronics

    1 publications · 17 citations

    1

    h-index

  5. IEEE Transactions on Automatic Control

    1 publications · 56 citations

    1

    h-index

1–5