References and formulas
$$ Residuals = Observation_i - Prediction_i $$
Mean Square Error (Bibby and Toutenburg, 1977)
$$ MSE = \frac{\sum_{n=1}{n}(Y_i-\mathbf{Y_i})^2 }{n} $$
Root Mean Square Error
$$ RMSE = \sqrt{MSE} $$
Mean Absolute Error (Chai and Draxler, 2014)
$$ MAE = \frac{\sum_{n=1}{n}|Y_i-\mathbf{Y_i}|}{n} $$
Mean Bias and Mean Bias as percentage of MSE
$$ MB = MB% = MB/MSE*100 $$
Slope bias and Slope Bias as percentage of MSE
$$ SP = SP% = SP/MSE*100 $$
Dispersion bias and Dispersion Bias as percentage of MSE
$$ DB = DB% = DB/MSE*100$$
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