Unequal Probability Sampling

Unequal Probability Sampling is a sampling method in survey sampling where each unit in the population has a distinct, non-uniform probability of selection, thereby distinguishing it from equal probability sampling designs by incorporating varying inclusion probabilities to improve efficiency or accommodate auxiliary information.

165

Publications

18.4K

Citations

352

Authors

190

Institutions

Publications per year

2017–2026

33

Variants

Unequal Probability Design

Authors

352

  1. JN
    J. N. K. Rao

    Carleton University, Canada

    7 publications · 687 citations

    7

    h-index

  2. KR
    K. R. W. Brewer

    United States Census Bureau, United States

    6 publications · 231 citations

    6

    h-index

  3. YT
    Yves Tillé

    University of Neuchâtel, Switzerland

    6 publications · 213 citations

    6

    h-index

  4. JN
    J. N. K. Rao

    Iowa State University, United States

    5 publications · 518 citations

    5

    h-index

  5. NL
    Nuanpan Lawson

    King Mongkut's University of Technology North Bangkok, Thailand

    4 publications · 50 citations

    4

    h-index

1–5 of 352

Venues

  1. Journal of the American Statistical Association

    21 publications · 7.4K citations

    17

    h-index

  2. Biometrika

    16 publications · 1.1K citations

    14

    h-index

  3. 5

    h-index

  4. Journal of Statistical Planning and Inference

    5 publications · 94 citations

    5

    h-index

  5. Australian Journal of Statistics

    AJS · 4 publications · 161 citations

    4

    h-index

1–5