Bayesian Acceptance Sampling

Bayesian Acceptance Sampling is a statistical decision framework within acceptance sampling that incorporates prior distributions and Bayesian inference to update the probability of lot acceptance based on observed sample data.

31

Publications

777

Citations

53

Authors

33

Institutions

Publications per year

2017–2026

4

Authors

53

  1. HM
    Herbert Moskowitz

    Purdue University West Lafayette, United States

    5 publications · 138 citations

    5

    h-index

  2. KT
    Kwei Tang

    Louisiana State University, United States

    4 publications · 108 citations

    4

    h-index

  3. RP
    Robert Plante

    Purdue University West Lafayette, United States

    3 publications · 58 citations

    3

    h-index

  4. JC
    Jianwei Chen

    San Diego State University, United States

    2 publications · 90 citations

    2

    h-index

  5. WH
    Waqar Hafeez

    2 publications · 22 citations

    2

    h-index

1–5 of 53

Venues

  1. Technometrics

    3 publications · 91 citations

    3

    h-index

  2. Journal of Quality Technology

    3 publications · 63 citations

    3

    h-index

  3. Naval Research Logistics Quarterly

    2 publications · 50 citations

    2

    h-index

  4. Management Science

    2 publications · 54 citations

    2

    h-index

  5. IIE Transactions

    2 publications · 34 citations

    2

    h-index

1–5