Direct Estimation

Direct Estimation is a small area estimation method that relies solely on the sample data from the specific domain of interest, without incorporating auxiliary information or models from external areas, thereby distinguishing it from indirect estimation approaches that leverage such external data or structural assumptions.

692

Publications

47.1K

Citations

1.8K

Authors

844

Institutions

Publications per year

2017–2026

101

Authors

1.8K

  1. MS
    Masashi Sugiyama

    Tokyo Institute of Technology, Japan

    13 publications · 1.7K citations

    11

    h-index

  2. LA
    Leo A. Goodman

    University of Chicago, United States

    7 publications · 1.8K citations

    7

    h-index

  3. RC
    Ray Chambers

    University of Wollongong, Australia

    6 publications · 182 citations

    6

    h-index

  4. HC
    Hukum Chandra

    Indian Agricultural Statistics Research Institute, India

    6 publications · 144 citations

    6

    h-index

  5. JE
    James E. Hines

    United States Geological Survey, United States

    6 publications · 2.3K citations

    6

    h-index

1–5 of 1.8K

Venues

  1. Journal of the American Statistical Association

    13 publications · 2.7K citations

    12

    h-index

  2. arXiv (Cornell University)

    Repository · 12 publications · 550 citations

    11

    h-index

  3. 10

    h-index

  4. IEEE Transactions on Signal Processing

    9 publications · 566 citations

    9

    h-index

  5. SSRN Electronic Journal

    Repository · 9 publications · 454 citations

    9

    h-index

1–5