When control limits are computed from the input data, three methods (referred to as default, MAD and MMR) are available for estimating the process standard deviation .
The default estimate for is
where is the average of the moving ranges, is the number of consecutive individual measurements used to compute each moving range, and the unbiasing factor is defined so that if the observations are normally distributed, the expected value of is
This method is described in the American Society for Testing and Materials (1976).
If you specify SMETHOD=MAD, a median absolute deviation estimator is computed for , as described by Boyles (1997). It is computed as
where is the sample median.
If you specify SMETHOD=MMR, a median moving range estimator is computed for . This estimator is described by Boyles (1997). It is computed as
where is the median of the nonmissing moving ranges.