Variance Shift Detection

Variance Shift Detection is a statistical process control method that identifies significant deviations in the variability of a process from its established baseline, distinguishing it from other process monitoring techniques by its specific focus on changes in variance rather than shifts in mean or other distributional parameters.

60

Publications

4.4K

Citations

131

Authors

70

Institutions

Publications per year

2017–2026

10

Authors

131

  1. ZW
    Zhang Wu

    Nanyang Technological University, Singapore

    7 publications · 383 citations

    7

    h-index

  2. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    3 publications · 73 citations

    3

    h-index

  3. SZ
    Sheng Zhang

    Nanyang Technological University, Singapore

    3 publications · 163 citations

    3

    h-index

  4. MB
    Michael B. C. Khoo

    Universiti Sains Malaysia, Malaysia

    3 publications · 143 citations

    3

    h-index

  5. SI
    Shing I. Chang

    Kansas State University, United States

    2 publications · 63 citations

    2

    h-index

1–5 of 131

Venues

  1. 8

    h-index

  2. International Journal of Production Research

    8 publications · 392 citations

    8

    h-index

  3. 7

    h-index

  4. Journal of Quality Technology

    4 publications · 608 citations

    4

    h-index

  5. Quality Technology & Quantitative Management

    3 publications · 59 citations

    3

    h-index

1–5