| (1) | S = \hat \mu_3(x-\hat x) |
where
x = \{ x_1, \, x_2, \, x_3 , ... x_N \} | observed variable represented by a discrete dataset of numerical samples |
|---|---|
\hat x = \{ \hat x_1, \, \hat x_2, \, \hat x_3 , ... \hat x_N \} | predictor of variable x, represented by another discrete dataset of numerical samples, with the same number of samples N predicted at the same conditions as the original samples \{ x_1, \, x_2, \, x_3 , ... x_N \} |
\delta x = x - \hat x | discrepancy dataset |
\mu_3(\delta x) | 3-rd order standardized central momentum of the discrepancy dataset \delta x |
See also
Natural Science / System / Model / Model Validation
Formal science / Mathematics / Statistics / Statistical correlation / Correlation coefficient