Discovery Sampling

Discovery Sampling is a statistical sampling method within the field of audit sampling that belongs to the category of attribute sampling techniques, distinguished by its specific application in detecting the presence of at least one instance of a rare or critical deviation or fraud in a population when the expected occurrence rate is near zero.

10

Publications

451

Citations

18

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

18

  1. PC
    Paul C. C. Wang

    AT&T (United States), United States

    2 publications · 35 citations

    2

    h-index

  2. VN
    Vijayan N. Nair

    University of Michigan, United States

    2 publications · 35 citations

    2

    h-index

  3. AO
    Anthony O’Hagan

    University of Sheffield, United Kingdom

    1 publications · 20 citations

    1

    h-index

  4. AB
    Alessandro Berti

    RWTH Aachen University, Germany

    1 publications · 14 citations

    1

    h-index

  5. MR
    Morteza Ramazani

    Islamic Azad University of Zanjan, Iran

    1 publications · 12 citations

    1

    h-index

1–5 of 18

Venues

  1. Technometrics

    2 publications · 35 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 35 citations

    1

    h-index

  3. Managerial Auditing Journal

    MAJ · 1 publications · 247 citations

    1

    h-index

  4. SSRN Electronic Journal

    Repository · 1 publications · 12 citations

    1

    h-index

  5. 1

    h-index

1–5