Precision-based Sample Size Determination

Precision-Based Sample Size Determination is a sample size planning method that specifies the minimum required sample size to achieve a predetermined level of statistical precision for an estimated parameter, typically defined by the width of a confidence interval.

22

Publications

6.2K

Citations

49

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

49

  1. RD
    Robert D. Tortora

    Washington State University, United States

    2 publications · 147 citations

    2

    h-index

  2. AY
    Akemi Yasui

    Food Research Institute, Japan

    1 publications · 29 citations

    1

    h-index

  3. JL
    Jinquan Li

    Huazhong Agricultural University, China

    1 publications · 25 citations

    1

    h-index

  4. AN
    Aaron N. Richter

    Florida Atlantic University, United States

    1 publications · 22 citations

    1

    h-index

  5. KL
    Kung‐Jong Lui

    San Diego State University, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 49

Venues

  1. Journal of the American Statistical Association

    3 publications · 2.4K citations

    3

    h-index

  2. The American Statistician

    3 publications · 186 citations

    3

    h-index

  3. Journal of Food Composition and Analysis

    1 publications · 29 citations

    1

    h-index

  4. 1

    h-index

  5. Rice Science

    1 publications · 25 citations

    1

    h-index

1–5