Research Article
Statistical Inference of Odd Fréchet Inverse Lomax Distribution with Applications
Table 11
ML estimates along with goodness of fit for data set I.
| Model | MLE | −log L | AIC | BIC | | | KS |
| OFIL | = 2.52944 | 215.112 | 436.224 | 441.838 | 0.14619 (0.9989) | 0.02085 (0.996) | 0.06974 (0.9737) | = 0.89524 | = 41.2755 | APTIL | = 0.00044 | 216.492 | 438.984 | 444.597 | 0.27286 (0.9569) | 0.03900 (0.9400) | 0.07224 (0.9636) | = 709.021 | = 0.14638 | WIL | = 7.83735 | 216.536 | 441.072 | 448.557 | 0.27011 (0.9586) | 0.03803 (0.9430) | 0.07251 (0.9624) | = 0.11073 | = 2359.93 | = 0.40060 | MOIL | = 0.03115 | 216.599 | 439.198 | 444.812 | 0.21208 (0.9868) | 0.02745 (0.9847) | 0.07569 (0.9462) | = 1132.43 | = 0.12629 | APTW | = 6.31 1011 | 217.398 | 440.796 | 446.410 | 0.47026 (0.7765) | 0.06620 (0.7774) | 0.09011 (0.8306) | = 0.63123 | = 0.33636 | APIE | = 5.102 1010 | 236.609 | 477.218 | 480.960 | 6.46850 (0.0006) | 1.22190 (0.0007) | 0.28348 (0.0009) | = 1.62081 |
|
|