Methods for calculating the bias/mean error and comparing signed values.
See D. Wallach, Working with Dynamic Crop Models, p. 22
Calculation of bias is the same as for the Bias class.
Comparison is different. Bias chooses the set with
the smallest absolute value (the closest to 0), whereas
SignedBias chooses the set with the smallest signed
value (the closest to -Infinity).
It can be used to select the maximum of simulated values by
setting observed values to 0, having thus the maximal value
when UnsignedBias is best.
public class SignedBias extends Bias { // Public Constructors public SignedBias(); // Public Instance Methods
public boolean isBetter(double better, double worse); // Overrides Bias