Finite Population Sampling

Finite Population Sampling is a sampling method that involves the selection of a subset of elements from a clearly defined, countable population wherein every element has a known non-zero probability of inclusion, distinguishing it from sampling techniques applied to infinite or hypothetical populations.

274

Publications

20.8K

Citations

380

Authors

217

Institutions

Publications per year

2017–2026

15

Authors

380

  1. RM
    Richard M. Royall

    Johns Hopkins University, United States

    11 publications · 1.1K citations

    11

    h-index

  2. GM
    Glen Meeden

    Twin Cities Orthopedics, United States

    9 publications · 256 citations

    9

    h-index

  3. MG
    Malay Ghosh

    University of Florida, United States

    8 publications · 294 citations

    8

    h-index

  4. ÖÖ
    Ömer Öztürk

    The Ohio State University, United States

    4 publications · 106 citations

    4

    h-index

  5. HP
    Housila P. Singh

    Vikram University, India

    4 publications · 205 citations

    4

    h-index

1–5 of 380

Venues

  1. 30

    h-index

  2. Biometrika

    25 publications · 1.7K citations

    18

    h-index

  3. The Annals of Mathematical Statistics

    16 publications · 4.5K citations

    14

    h-index

  4. Communication in Statistics- Theory and Methods

    16 publications · 426 citations

    13

    h-index

  5. The Annals of Statistics

    14 publications · 757 citations

    13

    h-index

1–5