Why do commercial SPC software makers still use the pure Shewhart model, without workarounds for the 75% or more cases where the data is NOT independent, and/or not stationary, but requires alarms that trigger adjustments for known causes?
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Why do commercial SPC software makers still use the pure Shewhart model, without workarounds for the 75% or more cases where the data is NOT independent, and/or not stationary, but requires alarms that trigger adjustments for known causes?
Topics:
Big Data & Analytics
