Stratified Random Sampling

Stratified Random Sampling is a probability sampling method in which the population is divided into distinct, non-overlapping subgroups (strata) based on shared characteristics, and random samples are independently selected from each stratum to ensure proportional representation and enhance precision.

5.3K

Publications

267.4K

Citations

18.1K

Authors

4.5K

Institutions

Publications per year

2017–2026

1.7K

Authors

18.1K

  1. JS
    Javid Shabbir

    Quaid-i-Azam University, Pakistan

    31 publications · 755 citations

    18

    h-index

  2. SR
    Sebastiaan Rothmann

    North-West University, South Africa

    16 publications · 1.6K citations

    16

    h-index

  3. RT
    Roger T. Johnson

    University of Minnesota, United States

    15 publications · 829 citations

    14

    h-index

  4. HP
    Housila P. Singh

    Vikram University, India

    14 publications · 342 citations

    13

    h-index

  5. SV
    Stephen V. Stehman

    SUNY College of Environmental Science and Forestry, United States

    12 publications · 1.3K citations

    12

    h-index

1–5 of 18.1K

Venues

  1. PubMed

    Repository · 269 publications · 11.3K citations

    52

    h-index

  2. PLoS ONE

    94 publications · 5.2K citations

    38

    h-index

  3. BMC Public Health

    62 publications · 3.9K citations

    36

    h-index

  4. Journal of the American Statistical Association

    49 publications · 2.5K citations

    27

    h-index

  5. 25

    h-index

1–5