方法证据记录
Bayesian Control Chart
A Bayesian control chart integrates prior knowledge about a process — such as historical mean and variance — with incoming measurement data to produce dynamically updated control limits. Unlike classical Shewhart charts that fix limits from a Phase-I baseline, Bayesian charts update the posterior distribution of process parameters after each sample, yielding limits that adapt to accumulated evidence and are better calibrated under small sample sizes or non-stationary processes.
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。
Bayesian Statistical Process Control Chart
分类方法记录 · process-pipeline / experimental-design
- Menzefricke, U. (2002). On the evaluation of control chart limits based on predictive distributions. Communications in Statistics — Theory and Methods, 31(8), 1423–1440. · DOI 10.1081/sta-120006077
- Control chart. Wikipedia. · URL
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