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The moving range method implemented the RSW process monitoring through providing the high frequency information of the curve.
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By choosing an ordering of the data, say y 1,y 2,…,y n ; and then applying the method outlined in [ 4], we obtain a value for the average moving range m R ¯ : (1) m R ¯ = 1 n − 1 ∑ j = 1 n − 1 y j + 1 − y j There are at most n! distinct possible orderings of the data, giving at most n ! 2 possible values for m R ¯ (the average moving range is invariant under a reversal of the order).
Instead the correct method for calculating the control limits for an XmR chart is via the average moving range [ 2, 7, 11].
Many methods have been proposed to minimize the computation and communication costs for the continuous monitoring of Moving Range Queries.
Results for individual and moving range charts are presented independently.
The average moving range for each of these resamples and summary statistics of those average moving ranges are displayed as Table 2.
Measurement results demonstrate that differences in the measured average air velocities between the moving traverse method and the fixed-point traverse method exist at a cross section where the air velocity spans a wide range.
Exponentially weighted moving average (EWMA), cumulative sum (CUSUM) and moving percentile method (MPM) algorithms were applied.
Use the moving averages method.
When the vehicle is moving, more range points are generated.
Figure 5 Illustration of the proposed moving edge detection method.
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