You are here: Symbol Reference > Dew Namespace > Dew.Stats Namespace > Dew.Stats.Units Namespace > Classes > StatControlCharts Class > StatControlCharts Methods > EWMAChart Method > StatControlCharts.EWMAChart Method ([In] TMtx, [In] TVec, out double, out double, out double, double, double)
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StatControlCharts.EWMAChart Method ([In] TMtx, [In] TVec, out double, out double, out double, double, double)

Constructs EWMA Control Chart.

Syntax
C#
Visual Basic
public static void EWMAChart([In] TMtx Data, [In] TVec DrawVec, out double CL, out double UCL, out double LCL, double r, double Confidence);

Calculates the Exponential Weighted Moving Average (EWMA) control chart. In this case UCL and LCL are constant (asymptote) limits. This chart is also known as exponentially smoothed or geometric moving average chart. It evaluates the process level using an exponentially smoothed moving average. Here, by the term exponentially, we mean the procedure by which individual observations or subgroups are given progressively less importance or weight. When compared to the XChart, the EWMA chart is more sensitive to smaller shifts in the process level. 

The exponentially weighted moving average is defined as

XHat[t] = r*XHat[t] + (1-r)XHat[t-1] ,

 

where r is a constant and XHat[t] are EWMA chart points. The starting value for the first sample at time t = 1 = XHat[0] is grand mean value.

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