Random Sampling

Random Sampling is a probabilistic method in randomized computation that selects elements from a population according to a uniform or specified probability distribution, ensuring each element has a non-zero chance of inclusion to produce unbiased estimates of population parameters.

7.5K

Publications

438.8K

Citations

23.1K

Authors

5.2K

Institutions

Publications per year

2017–2026

2.2K

Authors

23.1K

  1. MA
    Masduki Asbari

    Pelita Harapan University, Indonesia

    16 publications · 488 citations

    14

    h-index

  2. AI
    Amer Ibrahim Al‐Omari

    Al al-Bayt University, Jordan

    15 publications · 520 citations

    14

    h-index

  3. DN
    Dewiana Novitasari

    Universitas Patria Artha, Indonesia

    13 publications · 328 citations

    12

    h-index

  4. AH
    Abdul Haq

    Quaid-i-Azam University, Pakistan

    11 publications · 276 citations

    11

    h-index

  5. JS
    Javid Shabbir

    Quaid-i-Azam University, Pakistan

    10 publications · 337 citations

    10

    h-index

1–5 of 23.1K

Venues

  1. PubMed

    Repository · 434 publications · 16.6K citations

    60

    h-index

  2. PLoS ONE

    68 publications · 4K citations

    33

    h-index

  3. Journal of the American Statistical Association

    47 publications · 10.9K citations

    29

    h-index

  4. BMC Public Health

    37 publications · 2.3K citations

    27

    h-index

  5. American Journal of Public Health

    JPH · 30 publications · 2.2K citations

    22

    h-index

1–5