Bayesian Control Charts

Bayesian Control Chart is a type of statistical process control chart that incorporates Bayesian inference to update the probability distribution of process parameters, thereby enabling dynamic decision-making by combining prior knowledge with sampled data to detect shifts in the process.

77

Publications

2.2K

Citations

132

Authors

90

Institutions

Publications per year

2017–2026

29

Variants

Bayesian Control Chart

Authors

132

  1. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    7 publications · 163 citations

    7

    h-index

  2. MN
    Muhammad Noor‐ul‐Amin

    COMSATS University Islamabad, Pakistan

    7 publications · 167 citations

    7

    h-index

  3. SA
    Sajid Ali

    Quaid-i-Azam University, Pakistan

    5 publications · 110 citations

    5

    h-index

  4. VM
    Viliam Makiš

    University of Toronto, Canada

    5 publications · 162 citations

    5

    h-index

  5. TA
    Tahir Abbas

    Government College University, Lahore, Pakistan

    4 publications · 109 citations

    4

    h-index

1–5 of 132

Venues

  1. 14

    h-index

  2. 7

    h-index

  3. European Journal of Operational Research

    4 publications · 185 citations

    4

    h-index

  4. Journal of Quality Technology

    3 publications · 62 citations

    4

    h-index

  5. Scientific Reports

    3 publications · 51 citations

    3

    h-index

1–5