Question: Useful in supply chain analytics and statistics, what technique is computed by dividing the running sum of forecast errors by the mean absolute deviation? Question
Useful in supply chain analytics and statistics, what technique is computed by dividing the running sum of forecast errors by the mean absolute deviation?
Question options:
a
mean absolute percentage error
b
tracking signal
c
standard error
d
expected value
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