How is the process standard deviation estimated in the maChart action?

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Réponse

The process standard deviation is estimated using the method specified in the `sMethod` parameter. You can choose from three methods: 'RMSDF' (a weighted root mean square estimate), 'SMVLUE' (a minimum variance linear unbiased estimate based on subgroup standard deviations), or 'SNOWEIGHT' (an unweighted estimate based on subgroup standard deviations). The default method is 'SNOWEIGHT'.
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Other questions about maChart
How can I handle subgroups with varying sample sizes? What is the primary function of the maChart action? What does the `span` parameter control? What is the purpose of the `limitN` parameter? What is the difference between the `limitsTable` and `outLimitsTable` parameters?
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