50% observation (tn = 31)
k
MIMO
SRGM
Best Model
−3.0
−2.0
−1.0
0
1.0
2.0
Normal
10
0.832
1.115
0.970
1.452
0.950
0.826
0.157 (−0.5)
0.224
P: pareto
(1.280)
E:txvmax
(2.286)
20
0.985
1.763
0.989
1.306
0.313
0.384
0.115 (1.8)
0.137
30
0.814
0.592
1.006
0.345
0.913
1.938
0.028 (0.7)
1.078
40
1.617
1.384
1.491
3.835
0.408
0.787
0.294 (1.9)
0.136
50
2.154
1.158
0.972
0.488
0.516
1.543
0.435 (1.3)
0.078
60% observation (tn = 37)
k
MIMO
SRGM
Best Model
−3.0
−2.0
−1.0
0
1.0
2.0
Normal
10
3.188
2.172
0.789
0.931
0.867
1.277
0.052 (0.2)
0.056
P:lnorm
(0.023)
E:txvmax
(0.764)
20
2.203
2.203
1.419
1.632
0.929
0.823
0.116 (1.6)
0.038
30
0.876
1.510
4.025
1.210
0.293
1.862
0.072 (1.1)
0.043
40
2.151
0.473
1.331
0.881
0.978
1.523
0.126 (0.8)
0.029
50
2.185
3.521
1.240
1.529
1.272
0.211
0.099 (−0.3)
0.018
70% observation (tn = 43)
k
MIMO
SRGM
Best Model
−3.0
−2.0
−1.0
0
1.0
2.0
Normal
10
2.234
0.677
0.821
1.540
3.125
1.548
0.245 (0.6)
0.268
P:txvmax
(0.017)
E:txvmax
(0.017)
20
1.723
1.113
3.521
3.127
1.415
1.365
0.151 (0.3)
0.172
30
2.262
3.296
1.833
1.928
1.835
1.211
1.105 (1.3)
0.083
40
2.204
4.089
2.405
1.210
0.829
1.541
0.016 (0.8)
0.098
50
1.707
1.331
0.232
0.914
0.637
0.971
0.122 (0.9)
0.056
80% observation (tn = 50)
k
MIMO
SRGM
Best Model
−3.0
−2.0
−1.0
0
1.0
2.0
Normal
10
1.669
1.245
0.864
0.912
1.183
0.872
0.031 (1.7)
0.017
P:txvmin
(0.007)
E:lxvmin
(0.022)
20
2.626
0.924
1.436
1.293
0.791
0.379
0.044 (−0.4)
0.059
30
1.676
1.472
0.265
2.053
0.529
0.080
0.019 (0.2)
0.027
40
2.185
1.861
2.547
1.997
1.380
0.509
0.029 (0.9)
0.018
50
2.785
0.925
3.237
0.590
1.455
2.551
0.119 (0.8)
0.127
90% observation (tn = 56)
k
MIMO
SRGM
Best Model
−3.0
−2.0
−1.0
0
1.0
2.0
Normal
10
2.652
1.695
0.478
0.717
0.985
1.243
0.145 (0.4)
0.291
P:txvmax
(0.020)
E:lxvmin
(0.030)
20
1.658
0.424
0.581
0.985
0.068
1.717
0.068 (1.0)
0.043
30
2.202
1.751
1.318
1.351
1.598
3.761
0.184 (0.6)
0.186
40
1.625
1.243
0.558
0.869
1.662
1.120
0.023 (1.7)
0.034
50
2.915
0.501
0.956
2.127
1.273
0.831
0.134 (1.3)
0.161