XCHART Statement: CUSUM Procedure
- Overview
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Getting Started
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Syntax
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DetailsBasic Notation for Cusum ChartsFormulas for Cumulative SumsDefining the Decision Interval for a One-Sided Cusum SchemeDefining the V-Mask for a Two-Sided Cusum SchemeDesigning a Cusum SchemeCusum Charts Compared with Shewhart ChartsMethods for Estimating the Standard DeviationOutput Data SetsODS TablesODS GraphicsInput Data SetsMissing Values
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Examples
Missing Values
An observation read from a DATA= or HISTORY= data set is not analyzed if the value of the subgroup variable is missing. For a particular process variable, an observation read from a DATA= data set is not analyzed if the value of the process variable is missing. Missing values of process variables generally lead to unequal subgroup sample sizes. For a particular process variable, an observation read from a HISTORY= data set is not analyzed if the values of any of the corresponding summary variables are missing.