Statistical Quality Control

Statistical Quality Control is a quality analytics methodology that uses statistical techniques to monitor, control, and improve the quality of logging processes and data outputs within Log Quality Control systems.

599

Publications

50K

Citations

1.2K

Authors

535

Institutions

Publications per year

2017–2026

84

Authors

1.2K

  1. JO
    James O. Westgard

    University of Wisconsin–Madison, United States

    15 publications · 542 citations

    13

    h-index

  2. AJ
    Acheson J. Duncan

    Johns Hopkins University, United States

    10 publications · 1.9K citations

    10

    h-index

  3. DC
    Douglas C. Montgomery

    Arizona State University, United States

    10 publications · 10.3K citations

    10

    h-index

  4. WH
    William H. Woodall

    Virginia Tech, United States

    8 publications · 1.1K citations

    8

    h-index

  5. JC
    James C. Benneyan

    Northeastern University, United States

    7 publications · 624 citations

    7

    h-index

1–5 of 1.2K

Venues

  1. Technometrics

    57 publications · 15K citations

    33

    h-index

  2. Journal of Quality Technology

    39 publications · 3.3K citations

    25

    h-index

  3. Journal of the American Statistical Association

    17 publications · 3.8K citations

    14

    h-index

  4. Quality Engineering

    15 publications · 934 citations

    13

    h-index

  5. 13

    h-index

1–5