Research Article
Marshall–Olkin Extended Gumbel Type-II Distribution: Properties and Applications
Table 3
MLE and their sample statistics for some simulated samples and true values
= 1,
= 1,
= 1, and
= 1.
| | | Nelder–Mead | Quasi-Newton | Fletcher–Reeves | N | Parameters | Min | Max | Mean | Std | Min | Max | Mean | Std | Min | Max | Mean | Std |
| 50 | | 0.087 | 27.866 | 1.319 | 1.149 | 0.090 | 3.884 | 1.095 | 0.387 | 0.132 | 4.952 | 1.017 | 0.192 | | 0.245 | 3.929 | 1.071 | 0.386 | 0.118 | 2.722 | 1.041 | 0.261 | 0.237 | 2.869 | 1.009 | 0.169 | | 0.649 | 1.791 | 1.016 | 0.107 | 0.772 | 1.783 | 1.024 | 0.095 | 0.784 | 1.461 | 1.025 | 0.087 | | 15.934 | 42.289 | 1.007 | 1.252 | 0.026 | 2.346 | 1.005 | 0.127 | 0.475 | 3.853 | 1.015 | 0.125 | Iteration | 69 | 279 | 126 | 24 | 4 | 576 | 88 | 39 | 399 | 899 | 813 | 43 |
| 100 | | 0.118 | 8.549 | 1.141 | 0.597 | 0.055 | 5.072 | 1.036 | 0.294 | 0.058 | 2.289 | 1.011 | 0.119 | | 0.248 | 2.652 | 1.034 | 0.267 | 0.099 | 2.555 | 1.019 | 0.191 | 0.119 | 1.792 | 0.009 | 0.114 | | 0.768 | 1.355 | 1.007 | 0.074 | 0.821 | 1.339 | 1.012 | 0.064 | 0.862 | 1.334 | 1.012 | 0.058 | | 7.725 | 16.290 | 1.062 | 0.705 | 0.492 | 3.687 | 1.002 | 0.117 | 0.481 | 2.598 | 1.007 | 0.087 | Iteration | 65 | 279 | 119 | 23 | 19 | 603 | 112 | 55 | 411 | 953 | 818 | 46 |
| 300 | | 0.366 | 2.945 | 1.039 | 0.285 | 0.447 | 2.359 | 1.017 | 0.147 | 0.406 | 1.558 | 1.003 | 0.065 | | 0.513 | 1.623 | 1.008 | 0.148 | 0.585 | 1.492 | 1.007 | 0.099 | 0.566 | 1.386 | 1.004 | 0.067 | | 0.861 | 1.139 | 1.003 | 0.042 | 0.894 | 1.154 | 1.004 | 0.036 | 0.909 | 1.119 | 1.005 | 0.034 | | 5.753 | 5.349 | 1.078 | 0.421 | 0.506 | 1.608 | 1.002 | 0.056 | 0.599 | 1.428 | 1.001 | 0.039 | Iteration | 61 | 233 | 112 | 21 | 18 | 502 | 86 | 37 | 440 | 899 | 828 | 38 |
| 500 | | 0.454 | 2.129 | 1.026 | 0.223 | 0.502 | 1.759 | 1.007 | 0.116 | 0.502 | 1.905 | 1.003 | 0.049 | | 0.649 | 1.485 | 1.007 | 0.117 | 0.671 | 1.388 | 1.005 | 0.081 | 0.721 | 1.401 | 1.005 | 0.041 | | 0.898 | 1.124 | 1.002 | 0.033 | 0.899 | 0.117 | 1.003 | 0.026 | 0.912 | 1.340 | 1.002 | 0.019 | | 3.133 | 3.761 | 1.091 | 0.333 | 0.652 | 1.646 | 1.004 | 0.051 | 0.661 | 1.627 | 1.003 | 0.029 | Iteration | 64 | 234 | 107 | 22 | 24 | 691 | 120 | 60 | 402 | 910 | 835 | 49 |
| 1000 | | 0.575 | 1.747 | 1.017 | 0.152 | 0.513 | 1.509 | 1.004 | 0.081 | 0.631 | 1.302 | 1.002 | 0.039 | | 0.759 | 1.331 | 1.006 | 0.082 | 0.666 | 1.269 | 1.002 | 0.055 | 0.753 | 1.215 | 1.002 | 0.036 | | 0.919 | 1.091 | 1.001 | 0.023 | 0.934 | 1.082 | 1.002 | 0.019 | 0.936 | 1.083 | 1.001 | 0.018 | | 1.785 | 3.743 | 1.093 | 0.264 | 0.424 | 1.431 | 1.001 | 0.035 | 0.738 | 1.253 | 1.001 | 0.026 | Iteration | 63 | 221 | 105 | 20 | 24 | 606 | 108 | 45 | 453 | 901 | 839 | 41 |
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