Sampling Thresholds

Sampling Thresholds is a methodological construct in economic thresholds research that specifies the minimum sample size or frequency required to reliably detect a significant economic effect or event.

13

Publications

351

Citations

27

Authors

26

Institutions

Publications per year

2017–2026

5

Authors

27

  1. JF
    John F. Helliwell

    University of British Columbia, Canada

    2 publications · 63 citations

    2

    h-index

  2. FY
    Farhang Yeganegi

    University of Illinois Chicago, United States

    2 publications · 59 citations

    2

    h-index

  3. AE
    Arian Eamaz

    University of Illinois Chicago, United States

    2 publications · 59 citations

    2

    h-index

  4. MS
    Mojtaba Soltanalian

    University of Illinois Chicago, United States

    2 publications · 59 citations

    2

    h-index

  5. HS
    Hugh Shiplett

    University of British Columbia, Canada

    2 publications · 63 citations

    2

    h-index

1–5 of 27

Venues

  1. Statistical Methods & Applications

    1 publications · 11 citations

    1

    h-index

  2. PLoS ONE

    1 publications · 46 citations

    1

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 12 citations

    1

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 46 citations

    1

    h-index

  5. Signal Processing

    1 publications · 26 citations

    1

    h-index

1–5