Sampling Theory

Sampling Theory is a branch of statistics that systematically studies the principles and methods for selecting representative subsets of a population to enable valid inferences about mineral resource distributions, distinguishing itself by its focus on spatial, economic, and geologic constraints inherent in mineral resource estimation.

12.5K

Publications

1M

Citations

22.2K

Authors

4.9K

Institutions

Publications per year

2017–2026

2.1K

Authors

22.2K

  1. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    82 publications · 2.3K citations

    28

    h-index

  2. MP
    Mick P. Couper

    University of Michigan, United States

    32 publications · 5.4K citations

    26

    h-index

  3. CJ
    Chi‐Hyuck Jun

    Pohang University of Science and Technology, South Korea

    55 publications · 1.8K citations

    26

    h-index

  4. CW
    Chien‐Wei Wu

    National Tsing Hua University, Taiwan

    32 publications · 1.2K citations

    25

    h-index

  5. DA
    Don A. Dillman

    Washington State University, United States

    29 publications · 22.6K citations

    25

    h-index

1–5 of 22.2K

Venues

  1. Journal of the American Statistical Association

    491 publications · 54.1K citations

    98

    h-index

  2. Public Opinion Quarterly

    POQ · 163 publications · 23.6K citations

    69

    h-index

  3. Technometrics

    198 publications · 32.4K citations

    58

    h-index

  4. Biometrics

    131 publications · 20.5K citations

    55

    h-index

  5. Biometrika

    188 publications · 28.3K citations

    54

    h-index

1–5