Research Article
Model Selection Approaches for Predicting Future Order Statistics from Type II Censored Data
Table 1
The corresponding bias and MSEs for different settings with model misspecification when true distribution is ND.
| | | | Assumed Distribution | | | | Normal distribution | Extreme Value distribution | | | | | | | | | | | bias | MSE | bias | MSE | bias | MSE | bias | MSE |
| 10 | 8 | 9 | -0.1189 | 0.1295 | -0.3430 | 0.2140 | -0.1970 | 0.1406 | -0.3430 | 0.2140 | | 7 | 8 | -0.1193 | 0.0949 | -0.2832 | 0.1509 | -0.1597 | 0.0995 | -0.2832 | 0.1509 | | 7 | 9 | -0.1569 | 0.2159 | -0.3308 | 0.2753 | -0.3058 | 0.2619 | -0.4007 | 0.3196 | | 6 | 7 | -0.1206 | 0.0738 | -0.2560 | 0.1170 | -0.1402 | 0.0752 | -0.2560 | 0.1170 | | 6 | 8 | -0.3009 | 0.1652 | -0.1570 | 0.2134 | -0.3471 | 0.1947 | -0.2592 | 0.2399 | | 6 | 9 | -0.1964 | 0.3199 | -0.2980 | 0.3498 | -0.4147 | 0.4169 | -0.4678 | 0.4566 | | 5 | 6 | -0.1222 | 0.0747 | -0.2448 | 0.1142 | -0.1298 | 0.0749 | -0.2448 | 0.1142 | | 5 | 7 | -0.1690 | 0.1570 | -0.2913 | 0.1968 | -0.2452 | 0.1773 | -0.3266 | 0.2152 | | 5 | 8 | -0.2204 | 0.2661 | -0.2979 | 0.2877 | -0.3842 | 0.3310 | -0.4304 | 0.3606 | | 5 | 9 | -0.2702 | 0.4625 | -0.3429 | 0.4841 | -0.5557 | 0.6235 | -0.5914 | 0.6567 |
| 20 | 16 | 18 | -0.0675 | 0.0802 | -0.2343 | 0.1178 | -0.2074 | 0.1067 | -0.2832 | 0.1414 | | 14 | 16 | -0.0626 | 0.0514 | -0.1964 | 0.0780 | -0.1467 | 0.0622 | -0.2208 | 0.0875 | | 14 | 18 | -0.0802 | 0.1259 | -0.1607 | 0.1372 | -0.2995 | 0.1939 | -0.3338 | 0.2143 | | 12 | 14 | -0.0589 | 0.0411 | -0.1753 | 0.0640 | -0.1162 | 0.0477 | -0.1903 | 0.0693 | | 12 | 16 | -0.0863 | 0.0936 | -0.1469 | 0.1019 | -0.2381 | 0.1317 | -0.2703 | 0.1467 | | 12 | 18 | -0.1119 | 0.1857 | -0.1694 | 0.1942 | -0.4085 | 0.3102 | -0.4333 | 0.3296 | | 10 | 12 | -0.0664 | 0.0376 | -0.1707 | 0.0579 | -0.1075 | 0.0420 | -0.1812 | 0.0614 | | 10 | 14 | -0.0884 | 0.0818 | -0.1385 | 0.0886 | -0.2072 | 0.1084 | -0.2392 | 0.1211 | | 10 | 16 | -0.1151 | 0.1417 | -0.1552 | 0.1474 | -0.3376 | 0.2210 | -0.3588 | 0.2343 | | 10 | 18 | -0.1497 | 0.2628 | -0.1960 | 0.2701 | -0.5258 | 0.4627 | -0.5460 | 0.4823 |
| 30 | 24 | 27 | 0.0295 | 0.0763 | -0.1161 | 0.0584 | -0.2544 | 0.1226 | -0.2396 | 0.1020 | | 21 | 24 | -0.0059 | 0.0500 | -0.1078 | 0.0386 | -0.1952 | 0.0725 | -0.1819 | 0.0591 | | 21 | 27 | -0.0238 | 0.0933 | -0.0991 | 0.0827 | -0.3317 | 0.1889 | -0.2687 | 0.1366 | | 18 | 21 | -0.0482 | 0.0343 | -0.1087 | 0.0325 | -0.1851 | 0.0574 | -0.1700 | 0.0487 | | 18 | 24 | -0.0748 | 0.0650 | -0.1111 | 0.0605 | -0.3107 | 0.1451 | -0.2409 | 0.1030 | | 18 | 27 | -0.0961 | 0.1203 | -0.1328 | 0.1210 | -0.4270 | 0.2816 | -0.3717 | 0.2418 | | 15 | 18 | -0.0654 | 0.0267 | -0.1096 | 0.0310 | -0.1354 | 0.0388 | -0.1579 | 0.0430 | | 15 | 21 | -0.0862 | 0.0540 | -0.1052 | 0.0553 | -0.2572 | 0.1096 | -0.2331 | 0.0943 | | 15 | 24 | -0.1138 | 0.0911 | -0.1310 | 0.0941 | -0.3836 | 0.2094 | -0.3574 | 0.1924 | | 15 | 27 | -0.1464 | 0.1578 | -0.1722 | 0.1648 | -0.5614 | 0.4196 | -0.5463 | 0.4115 |
| 40 | 32 | 36 | 0.0653 | 0.0634 | -0.0669 | 0.0404 | -0.2696 | 0.1229 | -0.2145 | 0.0840 | | 28 | 32 | 0.0564 | 0.0426 | -0.0536 | 0.0225 | -0.1961 | 0.0685 | -0.1468 | 0.0418 | | 28 | 36 | 0.0622 | 0.0661 | -0.0268 | 0.0495 | -0.3224 | 0.1660 | -0.2442 | 0.1073 | | 24 | 28 | 0.0503 | 0.0349 | -0.0470 | 0.0173 | -0.1673 | 0.0514 | -0.1175 | 0.0294 | | 24 | 32 | 0.0567 | 0.0476 | -0.0188 | 0.0307 | -0.2464 | 0.1060 | -0.1588 | 0.0554 | | 24 | 36 | 0.0679 | 0.0697 | -0.0030 | 0.0560 | -0.3202 | 0.1666 | -0.2575 | 0.1199 | | 20 | 24 | 0.0402 | 0.0318 | -0.0459 | 0.0152 | -0.1629 | 0.0464 | -0.1049 | 0.0244 | | 20 | 28 | 0.0388 | 0.0405 | -0.0208 | 0.0261 | -0.2236 | 0.0887 | -0.1203 | 0.0394 | | 20 | 32 | 0.0498 | 0.0511 | -0.0035 | 0.0402 | -0.2503 | 0.1088 | -0.1666 | 0.0637 | | 20 | 36 | 0.0548 | 0.0769 | 0.0015 | 0.0674 | -0.3215 | 0.1688 | -0.2658 | 0.1294 |
| 50 | 40 | 45 | 0.0660 | 0.0504 | -0.0447 | 0.0310 | -0.2813 | 0.1201 | -0.1992 | 0.0700 | | 35 | 40 | 0.0564 | 0.0352 | -0.0387 | 0.0175 | -0.2043 | 0.0676 | -0.1330 | 0.0342 | | 35 | 45 | 0.0671 | 0.0551 | -0.0138 | 0.0407 | -0.3223 | 0.1587 | -0.2372 | 0.0970 | | 30 | 35 | 0.0506 | 0.0293 | -0.0321 | 0.0131 | -0.1742 | 0.0503 | -0.1016 | 0.0228 | | 30 | 40 | 0.0580 | 0.0371 | -0.0074 | 0.0239 | -0.2479 | 0.0992 | -0.1500 | 0.0467 | | 30 | 45 | 0.0676 | 0.0564 | 0.0076 | 0.0457 | -0.3245 | 0.1580 | -0.2547 | 0.1092 | | 25 | 30 | 0.0409 | 0.0260 | -0.0313 | 0.0110 | -0.1724 | 0.0446 | -0.0903 | 0.0180 | | 25 | 35 | 0.0496 | 0.0313 | -0.0065 | 0.0193 | -0.2235 | 0.0822 | -0.1108 | 0.0319 | | 25 | 40 | 0.0567 | 0.0393 | 0.0081 | 0.0299 | -0.2530 | 0.1017 | -0.1640 | 0.0559 | | 25 | 45 | 0.0702 | 0.0577 | 0.0221 | 0.0492 | -0.3245 | 0.1573 | -0.2646 | 0.1164 |
| 60 | 48 | 54 | 0.0639 | 0.0445 | -0.0350 | 0.0266 | -0.2901 | 0.1196 | -0.1925 | 0.0630 | | 42 | 48 | 0.0554 | 0.0309 | -0.0275 | 0.0144 | -0.2101 | 0.0643 | -0.1227 | 0.0285 | | 42 | 54 | 0.0644 | 0.0457 | -0.0046 | 0.0341 | -0.3264 | 0.1523 | -0.2325 | 0.0886 | | 36 | 42 | 0.0500 | 0.0247 | -0.0240 | 0.0106 | -0.1803 | 0.0491 | -0.0929 | 0.0186 | | 36 | 48 | 0.0573 | 0.0325 | -0.0024 | 0.0209 | -0.2505 | 0.0969 | -0.1465 | 0.0429 | | 36 | 54 | 0.0678 | 0.0488 | 0.0148 | 0.0396 | -0.3268 | 0.1542 | -0.2526 | 0.1040 | | 30 | 36 | 0.0416 | 0.0215 | -0.0226 | 0.0092 | -0.1786 | 0.0466 | -0.0798 | 0.0154 | | 30 | 42 | 0.0452 | 0.0260 | -0.0030 | 0.0162 | -0.2304 | 0.0786 | -0.1082 | 0.0276 | | 30 | 48 | 0.0573 | 0.0333 | 0.0158 | 0.0257 | -0.2532 | 0.0983 | -0.1588 | 0.0512 | | 30 | 54 | 0.0674 | 0.0494 | 0.0233 | 0.0429 | -0.3290 | 0.1568 | -0.2668 | 0.1139 |
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