Table 2.
Simulation results
| True log(AF) | Model | Scenario 1 | Scenario 2 | Scenario 3 | Scenario 4 | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bias |
Bias |
Cov. | AIC | BIC |
Conv. |
Bias |
Bias |
Cov. | AIC | BIC |
Conv. |
Bias |
Bias |
Cov. | AIC | BIC |
Conv. |
Bias |
Bias |
Cov. | AIC | BIC |
Conv. |
||
| 0.5 | Weibull |
0.083 |
16.6 |
23.4 | 11 | 11 | 1000 |
0.049 |
9.8 |
90.6 | 11 | 10 | 1000 | 0.139 | 27.8 | 67.6 | 11 | 10 | 1000 | 0.002 | 0.4 | 95.4 | 1 | 1 | 1000 |
| Gamma |
0.033 |
6.6 |
81.6 | 10 | 10 | 1000 |
0.074 |
14.8 |
83.8 | 10 | 10 | 1000 | 0.034 | 6.8 | 65.0 | 6 | 2 | 684 | 0.003 | 0.6 | 87.5 | 3 | 3 | 915 | |
| GenF | 0.000 | 0.0 | 94.5 | 8 | 3 | 996 | 0.001 | 0.2 | 66.9 | 7 | 1 | 701 | 0.036 | 7.2 | 33.8 | 5 | 3 | 360 | 0.013 | 2.6 | 55.5 | 5 | 5 | 587 | |
| FPAFT-df=2 |
0.001 |
0.2 |
94.1 | 9 | 9 | 1000 |
0.077 |
15.4 |
81.0 | 9 | 9 | 1000 | 0.102 | 20.4 | 76.3 | 10 | 7 | 1000 | 0.004 | 0.8 | 95.4 | 3 | 3 | 1000 | |
| FPAFT-df=3 | 0.001 | 0.2 | 94.3 | 1 | 1 | 1000 | 0.047 | 9.4 | 91.1 | 8 | 7 | 1000 | 0.002 | 0.4 | 93.9 | 2 | 2 | 1000 | 0.003 | 0.6 | 95.3 | 5 | 4 | 1000 | |
| FPAFT-df=4 | 0.000 | 0.0 | 95.4 | 2 | 2 | 1000 |
0.001 |
0.2 |
93.2 | 4 | 1 | 1000 | 0.002 | 0.4 | 92.5 | 3 | 4 | 1000 | 0.002 | 0.4 | 94.7 | 6 | 6 | 1000 | |
| FPAFT-df=5 | 0.002 | 0.4 | 95.1 | 3 | 4 | 1000 |
0.002 |
0.4 |
93.9 | 3 | 3 | 1000 | 0.008 | 1.6 | 94.1 | 4 | 5 | 1000 | 0.000 | 0.0 | 92.8 | 7 | 7 | 1000 | |
| FPAFT-df=6 | 0.001 | 0.2 | 94.0 | 4 | 5 | 1000 |
0.004 |
0.8 |
93.8 | 3 | 4 | 1000 | 0.007 | 1.4 | 93.5 | 5 | 6 | 1000 | 0.001 | 0.2 | 88.2 | 8 | 8 | 1000 | |
| FPAFT-df=7 | 0.000 | 0.0 | 93.8 | 5 | 6 | 1000 |
0.002 |
0.4 |
92.5 | 3 | 5 | 1000 | 0.003 | 0.6 | 93.6 | 6 | 8 | 1000 |
0.001 |
0.2 |
85.1 | 9 | 9 | 1000 | |
| FPAFT-df=8 |
0.000 |
0.0 | 92.4 | 6 | 7 | 999 | 0.000 | 0.0 | 89.6 | 4 | 6 | 1000 | 0.002 | 0.4 | 90.2 | 7 | 9 | 1000 |
0.004 |
0.8 |
78.1 | 10 | 10 | 1000 | |
| FPAFT-df=9 |
0.000 |
0.0 | 89.9 | 7 | 8 | 998 |
0.001 |
0.2 |
88.8 | 5 | 8 | 1000 | 0.003 | 0.6 | 88.5 | 8 | 11 | 1000 |
0.009 |
1.8 |
72.0 | 11 | 11 | 1000 | |
0.5 |
Weibull | 0.057 |
11.4 |
57.6 | 11 | 11 | 1000 | 0.042 |
8.4 |
91.1 | 10 | 10 | 1000 | 0.009 |
1.8 |
96.5 | 10 | 10 | 1000 |
0.000 |
0.0 | 95.9 | 1 | 1 | 1000 |
| Gamma | 0.010 |
2.0 |
93.1 | 9 | 9 | 989 | 0.047 |
9.4 |
88.8 | 10 | 11 | 1000 | 0.079 |
15.8 |
76.4 | 8 | 4 | 1000 |
0.001 |
0.2 | 95.6 | 3 | 3 | 998 | |
| GenF | 0.000 | 0.0 | 94.4 | 6 | 1 | 993 | 0.000 | 0.0 | 64.8 | 6 | 1 | 679 |
0.003 |
0.6 | 38.2 | 1 | 1 | 397 |
0.007 |
1.4 | 69.9 | 5 | 5 | 732 | |
| FPAFT-df=2 | 0.053 |
10.6 |
62.5 | 10 | 10 | 1000 | 0.039 |
7.8 |
88.5 | 9 | 9 | 1000 | 0.040 |
8.0 |
92.0 | 9 | 6 | 1000 |
0.001 |
0.2 | 95.7 | 3 | 3 | 1000 | |
| FPAFT-df=3 | 0.040 |
8.0 |
67.1 | 8 | 7 | 1000 | 0.112 |
22.4 |
72.4 | 8 | 8 | 1000 | 0.041 |
8.2 |
90.1 | 5 | 1 | 1000 |
0.001 |
0.2 | 96.3 | 5 | 4 | 1000 | |
| FPAFT-df=4 | 0.022 |
4.4 |
86.7 | 6 | 3 | 1000 | 0.061 |
12.2 |
82.6 | 6 | 2 | 1000 | 0.048 |
9.6 |
87.4 | 6 | 3 | 1000 |
0.001 |
0.2 | 95.6 | 6 | 6 | 1000 | |
| FPAFT-df=5 | 0.012 |
2.4 |
91.5 | 4 | 2 | 1000 | 0.038 |
7.6 |
89.6 | 5 | 2 | 1000 | 0.058 |
11.6 |
81.3 | 5 | 4 | 1000 |
0.002 |
0.4 | 93.6 | 7 | 7 | 1000 | |
| FPAFT-df=6 | 0.005 |
1.0 |
93.2 | 2 | 4 | 1000 | 0.023 |
4.6 |
92.2 | 3 | 3 | 1000 | 0.062 |
12.4 |
78.6 | 4 | 6 | 1000 |
0.002 |
0.4 | 90.2 | 8 | 8 | 1000 | |
| FPAFT-df=7 | 0.001 |
0.2 |
93.1 | 3 | 5 | 1000 | 0.011 |
2.2 |
91.9 | 2 | 5 | 1000 | 0.061 |
12.2 |
74.8 | 3 | 7 | 1000 |
0.002 |
0.4 | 86.8 | 9 | 9 | 1000 | |
| FPAFT-df=8 |
0.003 |
0.6 | 92.3 | 3 | 6 | 1000 | 0.004 |
0.8 |
89.6 | 3 | 6 | 1000 | 0.059 |
11.8 |
73.4 | 3 | 8 | 1000 | 0.002 |
0.4 |
80.1 | 10 | 10 | 1000 | |
| FPAFT-df=9 |
0.004 |
0.8 | 90.4 | 4 | 8 | 1000 | 0.001 |
0.2 |
89.5 | 4 | 7 | 1000 | 0.057 |
11.4 |
71.9 | 3 | 9 | 1000 | 0.007 |
1.4 |
75.0 | 11 | 11 | 1000 | |