all third-level commands in block > OBSERVATION
A data-worth analysis examines the value of adding potential or removing (actually or presumably) existing observations to or from an existing calibration data set. Data worth is calculated either by the change in the estimation uncertainty (i.e., the parameter covariance matrix Cpp), or by the change in model prediction uncertainty (i.e., the prediction covariance matrix). Command >>>> PREDICTION indicates that the corresponding observation set represents a prediction for the purpose of performing a data-worth analysis (i.e., these observations are not used as a calibration point; their uncertainty is used as a criterion to evaluate data worth; command >>>> POTENTIAL is used to indicate potential calibration data sets). Command >>>> DEVIATION can be used to indicate the relative importance of making an accurate prediction.
>> CAPILLARY PRESSURE
>>> ELEMENT: ELM99
(used as criterion for evaluating data worth)
>>>> NO DATA available
>>>> DEVIATION: 1.E5 Pa
>>> WORTH (ou) | >>> WORTH (op)