Research Article
Classical and Bayesian Inference Using Type-II Unified Progressive Hybrid Censored Samples for Pareto Model
Table 12
Bayesian point predictor with
and
ET prediction intervals for
for
.
| | | | | | | | | | | | | | | | | | |
| 1 | 1 | 1.225 | 0.629 | 2.026 | 0.389 | 3.037 | 1.343 | 0.484 | 2.185 | 0.231 | 3.694 | 2 | 1.573 | 0.740 | 3.088 | 0.479 | 5.541 | 2.532 | 0.600 | 3.665 | 0.310 | 8.146 | 3 | 2.438 | 0.873 | 5.082 | 0.591 | 11.350 | 7.103 | 0.744 | 6.832 | 0.417 | 21.238 | 4 | 4.613 | 1.018 | 8.538 | 0.720 | 23.780 | 19.710 | 0.906 | 13.182 | 0.548 | 57.920 | 5 | 12.188 | 1.193 | 16.670 | 0.881 | 62.358 | 59.551 | 1.105 | 30.852 | 0.720 | 214.386 | 6 | 32.653 | 1.382 | 34.263 | 1.062 | 174.841 | 151.749 | 1.320 | 77.551 | 0.921 | 878.949 | 7 | 111.072 | 1.633 | 96.664 | 1.290 | 789.276 | 431.175 | 1.595 | 290.979 | 1.181 | 6816.226 | 8 | 322.752 | 1.956 | 311.634 | 1.536 | 4.3E+03 | 1.0E+03 | 1.940 | 1.3E+03 | 1.467 | 6.9E+04 | 9 | 1.4E+03 | 2.547 | 2.9E+03 | 1.856 | 4.4E+03 | 3.3E+03 | 2.570 | 2.2E+04 | 1.839 | 6.0E+06 | 10 | 4.8E+03 | 3.582 | 5.6E+04 | 2.504 | 5.7E+04 | 8.6E+03 | 3.683 | 9.3E+05 | 2.497 | 6.2E+06 |
| 2 | 1 | 1.206 | 0.700 | 1.860 | 0.484 | 2.545 | 1.187 | 0.598 | 1.908 | 0.363 | 2.732 | 2 | 1.431 | 0.797 | 2.612 | 0.566 | 4.036 | 1.454 | 0.698 | 2.782 | 0.441 | 4.653 | 3 | 1.793 | 0.913 | 3.885 | 0.667 | 6.960 | 1.995 | 0.819 | 4.345 | 0.539 | 8.782 | 4 | 2.373 | 1.040 | 5.853 | 0.780 | 12.137 | 3.163 | 0.954 | 6.914 | 0.653 | 16.897 | 5 | 3.790 | 1.194 | 9.924 | 0.921 | 25.074 | 6.966 | 1.120 | 12.597 | 0.799 | 39.717 | 6 | 7.234 | 1.362 | 17.479 | 1.079 | 54.221 | 17.287 | 1.302 | 24.036 | 0.966 | 99.035 | 7 | 21.806 | 1.586 | 39.621 | 1.279 | 168.944 | 59.018 | 1.538 | 61.060 | 1.184 | 378.186 | 8 | 69.039 | 1.873 | 99.508 | 1.502 | 599.893 | 179.077 | 1.833 | 174.902 | 1.430 | 1.7E+03 | 9 | 427.945 | 2.388 | 591.669 | 1.803 | 7.7E+03 | 881.013 | 2.358 | 1.3E+03 | 1.766 | 3.3E+04 | 10 | 2.0E+03 | 3.269 | 6.2E+03 | 2.135 | 8.0E+03 | 3.3E+03 | 3.257 | 1.9E+04 | 2.139 | 3.5E+04 |
| 3 | 1 | 1.200 | 0.764 | 1.733 | 0.565 | 2.238 | 1.180 | 0.686 | 1.743 | 0.467 | 2.303 | 2 | 1.379 | 0.851 | 2.295 | 0.642 | 3.258 | 1.367 | 0.775 | 2.348 | 0.542 | 3.471 | 3 | 1.641 | 0.953 | 3.184 | 0.734 | 5.067 | 1.656 | 0.880 | 3.334 | 0.633 | 5.649 | 4 | 2.000 | 1.063 | 4.458 | 0.835 | 7.939 | 2.094 | 0.995 | 4.793 | 0.735 | 9.305 | 5 | 2.660 | 1.195 | 6.877 | 0.959 | 14.269 | 3.082 | 1.133 | 7.660 | 0.863 | 17.860 | 6 | 3.871 | 1.338 | 10.937 | 1.096 | 26.567 | 5.320 | 0.261 | 12.676 | 0.261 | 35.781 | 7 | 7.978 | 1.526 | 21.416 | 1.268 | 66.594 | 14.177 | 0.388 | 26.261 | 0.328 | 99.524 | 8 | 20.791 | 1.762 | 45.575 | 1.457 | 185.146 | 41.922 | 0.262 | 59.676 | 0.262 | 312.094 | 9 | 135.939 | 2.175 | 198.062 | 1.710 | 1.5E+03 | 250.632 | 2.118 | 291.317 | 8.937 | 3.1E+03 | 10 | 7.5E+02 | 2.857 | 1.4E+03 | 1.992 | 1.5E+03 | 1.2E+03 | 2.783 | 2.4E+03 | 1.970 | 3.2E+03 |
| 4 | 1 | 1.200 | 0.758 | 1.744 | 0.562 | 2.250 | 1.179 | 0.681 | 1.753 | 0.467 | 2.306 | 2 | 1.383 | 0.845 | 2.314 | 0.637 | 3.266 | 1.369 | 0.769 | 2.361 | 0.540 | 3.449 | 3 | 1.650 | 0.947 | 3.213 | 0.728 | 5.058 | 1.654 | 0.874 | 3.347 | 0.629 | 5.550 | 4 | 2.010 | 1.059 | 4.500 | 0.830 | 7.878 | 2.063 | 0.989 | 4.797 | 0.730 | 9.016 | 5 | 2.651 | 1.195 | 6.943 | 0.954 | 14.051 | 2.896 | 1.131 | 7.634 | 0.857 | 16.999 | 6 | 3.762 | 1.343 | 11.034 | 1.093 | 25.919 | 4.621 | 1.288 | 12.564 | 1.000 | 33.356 | 7 | 3.762 | 1.343 | 11.034 | 1.093 | 25.919 | 11.211 | 1.491 | 25.852 | 1.186 | 90.282 | 8 | 18.076 | 1.791 | 45.946 | 1.468 | 176.052 | 32.499 | 1.742 | 58.240 | 1.398 | 273.941 | 9 | 121.989 | 2.232 | 200.630 | 1.740 | 1.4E+03 | 212.132 | 2.180 | 281.921 | 1.694 | 2.6E+03 | 10 | 7.2E+02 | 2.969 | 1.4E+03 | 2.051 | 1.4E+03 | 1.1E+03 | 2.906 | 2.2E+03 | 2.035 | 2.7E+03 |
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