The tool supports interface of Foresight Analytics Platform 9 or earlier.
The panel is displayed if the Error Correction Model or Vector Error Correction Model (ECM) methods are selected.
This panel displays four regression statistics that generally describe a model:
Determinant of Covariant Residuals Matrix (RC). It characterizes the degree of the linear relationship between model residuals.
Maximum Likelihood Function Logarithm (LogL). The logarithm is calculated with the assumption that residuals have normal multidimensional distribution. It is commonly used as a criterion when selecting from several models.
Akaike Information Criterion (AIC). The criterion is used to select the best model based on the defined lags. A model with a smaller criterion value is preferred.
Schwarz Information Criterion (SC). The criterion is similar to the Akaike criterion. The lower is the value of the criterion, the better is the model.
See also:
The Model Object | Standard Model