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S_3 = \bar \mu_3(\delta x) = \hatbar \mu_3(x-\hat x) |
where where
{ %7B x_1, \, x_2, \, x_3 , ... x_N \ |
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}observed variable represented by a discrete dataset of numerical samples | numerical dataset, representing the samples of property |
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body | --uriencoded--\hat x = \ |
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{ %7B \hat x_1, \, \hat x_2, \, \hat x_3 , ... \hat x_N \ |
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}predictor of variable , 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 \} | discrepancy datasetmu_3
See also
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Human / Science / Formal Science / Mathematics / System / Model / Model Validation / Goodness of fit
Formal science / Mathematics / Statistics / Statistical correlation / Correlation coefficient