Attribute Acceptance Sampling

Attribute Acceptance Sampling is a statistical quality control method that classifies items in a batch as conforming or nonconforming to specified criteria, distinguishing itself from variable sampling by relying on discrete binary assessments rather than continuous measurement data.

36

Publications

988

Citations

67

Authors

37

Institutions

Publications per year

2017–2026

4

Variants

Attribute Sampling

Authors

67

  1. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    4 publications · 113 citations

    4

    h-index

  2. HF
    H. F. Dodge

    Rutgers, The State University of New Jersey, United States

    4 publications · 147 citations

    4

    h-index

  3. CJ
    Chi‐Hyuck Jun

    Pohang University of Science and Technology, South Korea

    2 publications · 54 citations

    2

    h-index

  4. IW
    Irving W. Burr

    Purdue University West Lafayette, United States

    2 publications · 64 citations

    2

    h-index

  5. JB
    Jerry Banks

    Georgia Institute of Technology, United States

    1 publications · 126 citations

    1

    h-index

1–5 of 67

Venues

  1. Technometrics

    9 publications · 297 citations

    9

    h-index

  2. Journal of Quality Technology

    6 publications · 208 citations

    6

    h-index

  3. Journal of Applied Statistics

    2 publications · 41 citations

    2

    h-index

  4. Management Science

    2 publications · 63 citations

    2

    h-index

  5. Quality Engineering

    2 publications · 51 citations

    2

    h-index

1–5