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S = \hat \mu_3(x-\hat x)

where 

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bodyx = \{ x_1, \, x_2, \, x_3 , ... x_N \}

observed  variable represented by a discrete  dataset of numerical samples

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body\hat x = \{ \hat x_1, \, \hat x_2, \, \hat x_3 , ... \hat x_N \}

predictor of variable 

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bodyx
, represented by another discrete  dataset of numerical samples,

with the same number of samples 

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bodyN
 predicted at the same conditions as the original samples 
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body \{ x_1, \, x_2, \, x_3 , ... x_N \}

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body\delta x = x - \hat x

discrepancy dataset

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body\mu_3(\delta x)

3-rd order standardized central momentum of the discrepancy dataset 

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body\delta x


See also

...

Natural Science / System / Model / Model Validation

Formal science / Mathematics / Statistics / Statistical correlation / Correlation coefficient