Sampling Without Replacement

Sampling Without Replacement is a sampling method in which each selected element is removed from the population and cannot be chosen again, ensuring that all sampled elements are distinct.

126

Publications

24.3K

Citations

165

Authors

100

Institutions

Publications per year

2017–2026

10

Authors

165

  1. JN
    J. N. K. Rao

    Iowa State University, United States

    5 publications · 518 citations

    5

    h-index

  2. DR
    Des Raj

    Hellenic Statistical Authority, Greece

    5 publications · 189 citations

    5

    h-index

  3. PK
    P. K. Pathak

    Michigan State University, United States

    4 publications · 80 citations

    4

    h-index

  4. KR
    K. R. W. Brewer

    United States Census Bureau, United States

    3 publications · 62 citations

    3

    h-index

  5. HO
    H. O. Hartley

    Texas A&M University, United States

    3 publications · 497 citations

    3

    h-index

1–5 of 165

Venues

  1. Journal of the American Statistical Association

    21 publications · 6.8K citations

    17

    h-index

  2. The Annals of Mathematical Statistics

    11 publications · 1.1K citations

    11

    h-index

  3. Biometrika

    10 publications · 898 citations

    10

    h-index

  4. 7

    h-index

  5. The Annals of Statistics

    5 publications · 431 citations

    5

    h-index

1–5