Adaptive Sample Allocation

Adaptive Sample Allocation is a methodological framework within adaptive experimental design that dynamically adjusts the distribution of sampling effort across experimental conditions or subpopulations based on accumulating data to optimize statistical efficiency, ethical considerations, or resource constraints.

21

Publications

1.2K

Citations

58

Authors

38

Institutions

Publications per year

2017–2026

3

Authors

58

  1. JB
    Jennifer Brown

    University of Canterbury, New Zealand

    2 publications · 51 citations

    2

    h-index

  2. MS
    Mohammad Salehi

    Isfahan University of Technology, Iran

    2 publications · 51 citations

    2

    h-index

  3. DR
    David R. Smith

    United States Geological Survey, United States

    2 publications · 51 citations

    2

    h-index

  4. BP
    Bardia Panahbehagh

    Isfahan University of Technology, Iran

    1 publications · 28 citations

    1

    h-index

  5. EL
    Erin L. Landguth

    University of Montana, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 58

Venues

  1. Journal of Statistical Planning and Inference

    2 publications · 29 citations

    2

    h-index

  2. Conservation Genetics

    1 publications · 39 citations

    1

    h-index

  3. National University of Singapore

    Repository · 1 publications · 10 citations

    1

    h-index

  4. IEEE Access

    1 publications · 14 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 29 citations

    1

    h-index

1–5