EWMA control charts for monitoring high-yield processes based on non-transformed observations

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From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors (2022, methodology): “At time t, the error rate p̂0,t, and the dynamic standard deviation σZt of the EWMA estimator ZT , are calculated.”
Exponentially weighted moving average charts for detecting concept drift (2012, methodology): “If the EWMA estimator Z t is deﬁned as in the previous section, then elementary properties of the Bernoulli distribution give the pre-change standard deviation of the EWMA estimator as [25]:”