Table 4

Sample results of simulation for different standardisation methods

123459,9969,9979,9989,99910,000
Case 1st_10.60.730.720.520.610.790.760.540.510.76
st_20.790.840.830.530.670.730.680.540.530.68
st_30.80.850.840.560.70.740.70.580.550.69
ev0.730.810.80.540.660.750.710.550.530.71
me_r1−0.13−0.08−0.08−0.01−0.050.040.05−0.01−0.020.05
me_r20.060.040.03−0.010.01−0.03−0.03−0.010−0.03
me_r30.070.040.040.020.04−0.01−0.020.020.02−0.02
mae_r10.130.080.080.010.050.040.050.010.020.05
mae_r20.060.040.030.010.010.030.030.0100.03
mae_r30.070.040.040.020.040.010.020.020.020.02
mpe_r1−22.25−10.93−10.72−2.68−8.854.726.12−2.33−3.186.04
mpe_r27.754.184.08−0.952−3.68−4.53−1.7−0.36−4.47
mpe_r38.935.25.153.435.74−1.43−2.243.83.33−2.2
mape_r122.2510.9310.722.688.854.726.122.333.186.04
mape_r27.754.184.080.9523.684.531.70.364.47
mape_r38.935.25.153.435.741.432.243.83.332.2
mse_r10.020.010.010000000
mse_r20000000000
mse_r30.01000000000
rmse_r10.130.080.080.010.050.040.050.010.020.05
rmse_r20.060.040.030.010.010.030.030.0100.03
rmse_r30.070.040.040.020.040.010.020.020.020.02
Case 2st_10.510.560.560.930.850.940.520.870.510.81
st_20.520.550.550.90.790.920.530.830.520.74
st_30.540.580.580.960.810.940.550.950.540.76
ev0.520.570.560.930.820.940.540.890.520.77
me_r1−0.0100−0.010.030.01−0.01−0.01−0.020.04
me_r20−0.01−0.01−0.03−0.03−0.010−0.060−0.03
me_r30.010.020.020.03−0.0100.010.070.01−0.01
mae_r10.01000.010.030.010.010.010.020.04
mae_r200.010.010.030.030.0100.0600.03
mae_r30.010.020.020.030.0100.010.070.010.01
mpe_r1−2.75−0.45−0.67−0.553.830.72−2.55−1.39−2.964.71
mpe_r2−0.11−2.66−2.5−3.1−3.48−1.25−0.27−6.630.32−4.06
mpe_r32.722.953.013.43−0.620.512.687.062.49−1.04
mape_r12.750.450.670.553.830.722.551.392.964.71
mape_r20.112.662.53.13.481.250.276.630.324.06
mape_r32.722.953.013.430.620.512.687.062.491.04
mse_r10000000000
mse_r20000000000
mse_r30000000000
rmse_r10.01000.010.030.010.010.010.020.04
rmse_r200.010.010.030.030.0100.0600.03
rmse_r30.010.020.020.030.0100.010.070.010.01
Case 3st_10.530.530.630.540.530.570.50.520.610.6
st_20.520.520.730.540.660.550.530.540.590.58
st_30.540.540.680.580.680.580.540.570.620.62
ev0.530.530.680.550.630.570.520.540.610.6
me_r100−0.05−0.01−0.090−0.02−0.030.010
me_r2−0.01−0.010.05−0.010.04−0.0200−0.02−0.02
me_r30.010.0100.020.060.020.020.030.010.02
mae_r1000.050.010.0900.020.030.010
mae_r20.010.010.050.010.040.02000.020.02
mae_r30.010.0100.020.060.020.020.030.010.02
mpe_r1−0.12−0.18−8.44−2.09−17.860.75−4.03−5.071.160.11
mpe_r2−1.85−1.977.2−1.965.84−3.790.54−0.53−2.79−3.7
mpe_r31.92.070.023.818.212.813.225.081.523.35
mape_r10.120.188.442.0917.860.754.035.071.160.11
mape_r21.851.977.21.965.843.790.540.532.793.7
mape_r31.281.320.023.9482.212.55.061.712.98
mse_r100000.0100000
mse_r20000000000
mse_r30000000000
rmse_r1000.050.010.0900.020.030.010
rmse_r20.010.010.050.010.040.02000.020.02
rmse_r30.010.0100.020.060.020.020.030.010.02

Note(s): Where

ev – expected value

Source(s): Own elaboration

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