方法证据记录
Robust Statistical Process Control
Robust Statistical Process Control (Robust SPC) is an engineering quality-monitoring framework that replaces the classical mean and standard deviation estimators used in Shewhart-type control charts with outlier-resistant alternatives — such as the median, MAD, or trimmed statistics — so that isolated contaminating observations or non-normal process distributions do not inflate control limits and mask genuine process shifts.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Statistical Process Control
分类方法记录 · process-pipeline / experimental-design
- Tatum, L. G. (1997). Robust estimation of the process standard deviation for control charts. Technometrics, 39(2), 127–141. · DOI 10.1080/00401706.1997.10485078
- Rocke, D. M. (1989). Robust control charts. Technometrics, 31(2), 173–184. · DOI 10.1080/00401706.1989.10488511
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