Research Article
[Retracted] Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples
Table 6
The MILs and CPs of ML, boot, and Bayes methods under
.
| | | | | | | | MIL | CP | MIL | CP | MIL | CP | MIL | CP | MIL | CP | MIL | CP |
| (0.2, 30, 30) | | 4.142 | 0.85 | 3.211 | 0.87 | 3.512 | 0.88 | 4.215 | 0.89 | 5.413 | 0.88 | 5.124 | 0.88 | | 4.314 | 0.88 | 3.415 | 0.88 | 3.688 | 0.89 | 4.389 | 0.89 | 5.598 | 0.89 | 5.311 | 0.88 | | 4.101 | 0.89 | 3.178 | 0.89 | 3.481 | 0.90 | 4.182 | 0.90 | 5.389 | 0.89 | 5.047 | 0.90 | | 3.245 | 0.91 | 3.001 | 0.90 | 3.214 | 0.91 | 4.007 | 0.90 | 5.217 | 0.90 | 4.874 | 0.91 |
| (0.2, 50, 30) | | 3.850 | 0.90 | 2.901 | 0.89 | 3.012 | 0.90 | 3.841 | 0.90 | 5.211 | 0.90 | 5.109 | 0.90 | | 3.950 | 0.90 | 3.080 | 0.90 | 3.130 | 0.90 | 4.007 | 0.89 | 5.417 | 0.89 | 5.214 | 0.89 | | 3.811 | 0.91 | 2.920 | 0.90 | 3.011 | 0.92 | 3.700 | 0.92 | 5.198 | 0.89 | 5.001 | 0.90 | | 3.124 | 0.93 | 2.710 | 0.91 | 2.910 | 0.96 | 3.507 | 0.94 | 4.987 | 0.92 | 4.780 | 0.94 |
| (0.2, 40, 60) | | 3.899 | 0.89 | 2.725 | 0.89 | 3.025 | 0.90 | 3.871 | 0.91 | 5.003 | 0.90 | 4.952 | 0.91 | | 3.981 | 0.90 | 2.895 | 0.91 | 3.142 | 0.91 | 4.019 | 0.89 | 5.274 | 0.92 | 5.001 | 0.91 | | 3.861 | 0.92 | 2.701 | 0.90 | 3.019 | 0.92 | 3.722 | 0.90 | 5.000 | 0.91 | 4.890 | 0.92 | | 3.190 | 0.91 | 2.503 | 0.93 | 2.927 | 0.90 | 3.531 | 0.91 | 4.711 | 0.93 | 4.520 | 0.91 |
| (0.2, 80, 80) | | 3.601 | 0.90 | 2.610 | 0.91 | 2.911 | 0.91 | 3.590 | 0.91 | 4.802 | 0.91 | 4.815 | 0.91 | | 3.690 | 0.92 | 2.781 | 0.94 | 3.000 | 0.93 | 3.811 | 0.90 | 5.003 | 0.92 | 5.912 | 0.91 | | 3.570 | 0.92 | 2.590 | 0.90 | 2.890 | 0.90 | 3.530 | 0.92 | 4.779 | 0.90 | 4.715 | 0.91 | | 2.854 | 0.93 | 2.401 | 0.94 | 2.711 | 0.94 | 3.224 | 0.93 | 4.490 | 0.92 | 4.412 | 0.95 |
| (0.8, 30, 30) | | 3.654 | 0.89 | 2.680 | 0.90 | 2.978 | 0.91 | 3.610 | 0.89 | 4.875 | 0.90 | 4.864 | 0.90 | | 3.697 | 0.90 | 2.775 | 0.90 | 3.069 | 0.90 | 3.882 | 0.90 | 5.069 | 0.92 | 5.949 | 0.90 | | 3.630 | 0.90 | 2.640 | 0.91 | 2.945 | 0.90 | 3.591 | 0.90 | 4.819 | 0.92 | 4.760 | 0.93 | | 2.915 | 0.90 | 2.501 | 0.92 | 2.774 | 0.91 | 3.305 | 0.92 | 4.500 | 0.92 | 4.445 | 0.92 |
| (0.8, 50, 30) | | 3.418 | 0.91 | 2.671 | 0.90 | 2.760 | 0.91 | 3.401 | 0.91 | 4.879 | 0.89 | 4.871 | 0.90 | | 3.498 | 0.90 | 2.754 | 0.93 | 2.879 | 0.93 | 3.670 | 0.92 | 5.085 | 0.91 | 5.939 | 0.90 | | 3.401 | 0.91 | 2.621 | 0.91 | 2.847 | 0.92 | 3.402 | 0.94 | 4.804 | 0.91 | 4.748 | 0.91 | | 2.721 | 0.92 | 2.491 | 0.90 | 2.576 | 0.94 | 3.115 | 0.94 | 4.503 | 0.94 | 4.445 | 0.93 |
| (0.8, 40, 60) | | 3.441 | 0.89 | 2.451 | 0.91 | 2.772 | 0.91 | 3.424 | 0.90 | 4.610 | 0.96 | 4.623 | 0.90 | | 3.514 | 0.90 | 2.524 | 0.97 | 2.881 | 0.90 | 3.679 | 0.91 | 4.850 | 0.92 | 5.790 | 0.91 | | 3.422 | 0.92 | 2.405 | 0.92 | 2.842 | 0.91 | 3.414 | 0.90 | 4.579 | 0.94 | 4.624 | 0.91 | | 2.738 | 0.92 | 2.213 | 0.92 | 2.495 | 0.92 | 3.008 | 0.91 | 4.280 | 0.95 | 4.215 | 0.94 |
| (0.8, 80, 80) | | 3.150 | 0.93 | 2.178 | 0.92 | 2.684 | 0.92 | 3.314 | 0.92 | 4.390 | 0.90 | 4.398 | 0.93 | | 3.241 | 0.92 | 2.290 | 0.90 | 2.701 | 0.92 | 3.450 | 0.91 | 4.512 | 0.93 | 5.588 | 0.90 | | 3.110 | 0.93 | 2.154 | 0.94 | 2.629 | 0.92 | 3.375 | 0.93 | 4.370 | 0.94 | 4.401 | 0.93 | | 2.415 | 0.95 | 2.001 | 0.95 | 2.478 | 0.95 | 3.000 | 0.93 | 4.003 | 0.93 | 4.005 | 0.96 |
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