Table 1.
Average value of and the average value and estimated risk (ER) of the MLEs for different choices of .
Table 1.
Average value of and the average value and estimated risk (ER) of the MLEs for different choices of .
| | | | ER | | ER | | ER() |
---|
(10, 10, 10) | 15 | (3.2, 5.2, 6.6) | 1.6578 | 2.4878 | 2.5768 | 1.4083 | 3.6371 | 1.7036 |
| 20 | (4.6, 7, 8.4) | 1.3293 | 0.8232 | 2.3981 | 1.0986 | 3.5154 | 1.4353 |
| 25 | (6.6, 8.8, 9.6) | 1.2090 | 0.5635 | 2.3328 | 0.9205 | 3.4128 | 1.2615 |
(7, 10, 13) | 15 | (2.1, 4.8, 8.1) | 2.4920 | 8.3330 | 2.6255 | 1.5384 | 3.4742 | 1.4147 |
| 20 | (3, 6.6, 10.4) | 1.6938 | 2.2329 | 2.4420 | 1.1270 | 3.4024 | 1.2115 |
| 25 | (4.3, 8.5, 12.2) | 1.3595 | 0.8856 | 2.3450 | 0.9430 | 3.2879 | 1.0874 |
(13, 10, 7) | 15 | (4.4, 5.6, 5) | 1.3523 | 0.8575 | 2.5333 | 1.3429 | 3.9389 | 2.2551 |
| 20 | (6.4, 7.5, 6.1) | 1.2105 | 0.5738 | 2.4012 | 1.0682 | 3.7394 | 1.9000 |
| 25 | (9.1, 9.1, 6.8) | 1.1381 | 0.4423 | 2.3021 | 0.8948 | 3.5907 | 1.7008 |
(20, 20, 20) | 30 | (6.1, 10.4, 13.4) | 1.2188 | 0.5791 | 2.2398 | 0.7672 | 3.3125 | 1.0128 |
| 40 | (9.1, 14.1, 16.8) | 1.1385 | 0.4186 | 2.1901 | 0.6409 | 3.2480 | 0.8648 |
| 50 | (13.2, 17.6, 19.2) | 1.0948 | 0.3280 | 2.1634 | 0.5686 | 3.2370 | 0.8013 |
(14, 20, 26) | 30 | (3.9, 9.7, 16.4) | 1.4297 | 1.5887 | 2.2755 | 0.8272 | 3.2351 | 0.8782 |
| 40 | (5.8, 13.3, 20.9) | 1.2491 | 0.6099 | 2.2036 | 0.6618 | 3.1838 | 0.7458 |
| 50 | (8.6, 17, 24.4) | 1.1622 | 0.4534 | 2.1639 | 0.5724 | 3.1772 | 0.6906 |
(26, 20, 14) | 30 | (8.8, 11.2, 10) | 1.1386 | 0.4196 | 2.2234 | 0.7277 | 3.4242 | 1.2191 |
| 40 | (12.9, 14.9, 12.2) | 1.0949 | 0.3263 | 2.1899 | 0.6219 | 3.3609 | 1.0732 |
| 50 | (18.2, 18.2, 13.6) | 1.0667 | 0.2733 | 2.1621 | 0.5621 | 3.3013 | 0.9981 |
(30, 30, 30) | 45 | (9.3, 15.6, 20.1) | 1.1421 | 0.4090 | 2.1576 | 0.5835 | 3.1945 | 0.7693 |
| 60 | (13.7, 21.1, 25.2) | 1.089 | 0.3150 | 2.1253 | 0.4954 | 3.1738 | 0.6840 |
| 75 | (19.7, 26.5, 28.8) | 1.0629 | 0.2525 | 2.1112 | 0.4364 | 3.1598 | 0.6248 |
(21, 30, 39) | 45 | (5.9, 14.5, 24.6) | 1.2336 | 0.61024 | 2.1745 | 0.6116 | 3.1535 | 0.6711 |
| 60 | (8.8, 19.9, 31.3) | 1.1510 | 0.4301 | 2.1295 | 0.5067 | 3.1324 | 0.5986 |
| 75 | (12.9, 25.4, 36.7) | 1.1138 | 0.3452 | 2.1040 | 0.4508 | 3.1181 | 0.5397 |
(39, 30, 21) | 45 | (13.2, 16.9, 14.9) | 1.0910 | 0.3179 | 2.1477 | 0.55604 | 3.2719 | 0.9112 |
| 60 | (19.3, 22.4, 18.3) | 1.0633 | 0.2549 | 2.1212 | 0.4872 | 3.2461 | 0.8316 |
| 75 | (27.3, 27.3, 20.4) | 1.0424 | 0.2127 | 2.11531 | 0.4348 | 3.2057 | 0.7510 |
Table 2.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.1.
Table 2.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.1.
|
r
| = 0.1, c = −1
|
---|
|
ER
| |
ER | | ER(
)
|
---|
(10, 10, 10) | 15 | 1.0639 | 0.1289 | 2.0514 | 0.1792 | 3.0520 | 0.2142 |
| 20 | 1.0578 | 0.1496 | 2.0468 | 0.2033 | 3.0579 | 0.2191 |
| 25 | 1.0487 | 0.1610 | 2.0341 | 0.2164 | 3.0451 | 0.2218 |
(20, 20, 20) | 30 | 1.0547 | 0.1607 | 2.0533 | 0.2211 | 3.0606 | 0.2535 |
| 40 | 1.0454 | 0.1700 | 2.0483 | 0.2282 | 3.0492 | 0.2677 |
| 50 | 1.0446 | 0.1655 | 2.0537 | 0.2323 | 3.0512 | 0.2691 |
(30, 30, 30) | 45 | 1.0477 | 0.1676 | 2.0383 | 0.2294 | 3.0393 | 0.2778 |
| 60 | 1.0439 | 0.16566 | 2.0537 | 0.2305 | 3.0545 | 0.2792 |
| 75 | 1.0351 | 0.1604 | 2.0213 | 0.2299 | 3.0516 | 0.2775 |
| r | = 0.1, c = −0.75 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 0.9690 | 0.1198 | 1.9528 | 0.1692 | 2.9585 | 0.2070 |
| 20 | 0.9689 | 0.1396 | 1.9652 | 0.1899 | 2.9515 | 0.2180 |
| 25 | 0.9680 | 0.1524 | 1.9530 | 0.1987 | 2.9515 | 0.2228 |
(20, 20, 20) | 30 | 0.9837 | 0.1519 | 1.9816 | 0.2124 | 2.9822 | 0.2563 |
| 40 | 0.9911 | 0.1579 | 1.9748 | 0.2184 | 2.9777 | 0.2579 |
| 50 | 0.9884 | 0.1574 | 1.9756 | 0.2178 | 2.9714 | 0.2590 |
(30, 30, 30) | 45 | 0.9730 | 0.1538 | 1.9882 | 0.2189 | 2.9654 | 0.2641 |
| 60 | 0.9939 | 0.1562 | 1.9855 | 0.2222 | 2.9854 | 0.2720 |
| 75 | 0.9992 | 0.1526 | 1.9837 | 0.2204 | 3.0073 | 0.2705 |
| r | = 0.1, c = −0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 0.8779 | 0.1573 | 1.8597 | 0.2176 | 2.8503 | 0.2425 |
20 | 0.8906 | 0.1771 | 1.8768 | 0.2376 | 2.8590 | 0.2488 |
25 | 0.8894 | 0.1645 | 1.8830 | 0.2310 | 2.8545 | 0.2594 |
(20, 20, 20) | 30 | 0.9112 | 0.1775 | 1.8823 | 0.2258 | 2.8996 | 0.2945 |
| 40 | 0.9194 | 0.1726 | 1.9015 | 0.2273 | 2.8834 | 0.2640 |
| 50 | 0.9343 | 0.1666 | 1.9111 | 0.2256 | 2.9009 | 0.2709 |
(30, 30, 30) | 45 | 0.9281 | 0.1771 | 1.9025 | 0.2301 | 2.8995 | 0.2723 |
| 60 | 0.9300 | 0.1638 | 1.9281 | 0.2316 | 2.9065 | 0.2813 |
| 75 | 0.9460 | 0.1518 | 1.9388 | 0.2241 | 2.8961 | 0.2675 |
Table 3.
Average value of Bayesian estimators and estimated risk for different choices of and , = 0.5.
Table 3.
Average value of Bayesian estimators and estimated risk for different choices of and , = 0.5.
|
r
| = 0.5, c = −1 |
---|
|
ER
| |
ER
| |
ER()
|
---|
(10, 10, 10) | 15 | 1.1972 | 0.4274 | 2.2105 | 0.5615 | 3.1933 | 0.6662 |
20 | 1.1473 | 0.4071 | 2.1902 | 0.5528 | 3.1851 | 0.6597 |
25 | 1.1119 | 0.3704 | 2.1729 | 0.5229 | 3.1584 | 0.6367 |
(20, 20, 20) | 30 | 1.1510 | 0.3735 | 2.1389 | 0.5018 | 3.1645 | 0.6193 |
| 40 | 1.1177 | 0.3201 | 2.0983 | 0.4543 | 3.1587 | 0.5890 |
| 50 | 1.0396 | 0.2742 | 2.0935 | 0.4334 | 3.1136 | 0.5620 |
(30, 30, 30) | 45 | 1.0881 | 0.3076 | 2.1095 | 0.4423 | 3.0956 | 0.5516 |
| 60 | 1.0669 | 0.2672 | 2.0774 | 0.4059 | 3.1780 | 0.5307 |
| 75 | 1.0524 | 0.2298 | 2.0732 | 0.3664 | 3.1116 | 0.5005 |
| r | = 0.5, c = −0.75 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.1439 | 0.3947 | 2.1345 | 0.5446 | 3.1490 | 0.6481 |
20 | 1.1412 | 0.3874 | 2.1343 | 0.5279 | 3.1305 | 0.6435 |
25 | 1.1130 | 0.3539 | 2.1098 | 0.5055 | 3.1251 | 0.6169 |
(20, 20, 20) | 30 | 1.0886 | 0.3475 | 2.1274 | 0.4826 | 3.1118 | 0.6067 |
| 40 | 1.0645 | 0.3073 | 2.0875 | 0.4494 | 3.0735 | 0.5728 |
| 50 | 1.0652 | 0.2710 | 2.1057 | 0.4221 | 3.1000 | 0.5494 |
(30, 30, 30) | 45 | 1.0565 | 0.2997 | 2.1020 | 0.4353 | 3.1070 | 0.5508 |
| 60 | 1.0676 | 0.2587 | 2.0958 | 0.4019 | 3.0733 | 0.5188 |
| 75 | 1.0402 | 0.2230 | 2.0471 | 0.3625 | 3.0563 | 0.4894 |
| r | = 0.5, c = −0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.0931 | 0.3704 | 2.0916 | 0.5080 | 3.0920 | 0.6268 |
20 | 1.0857 | 0.3639 | 2.0800 | 0.5061 | 3.0810 | 0.6153 |
25 | 1.0680 | 0.3335 | 2.0566 | 0.4885 | 3.0687 | 0.6097 |
(20, 20, 20) | 30 | 1.0768 | 0.3401 | 2.0929 | 0.4806 | 3.0683 | 0.5892 |
| 40 | 1.0515 | 0.2975 | 2.0572 | 0.4450 | 3.1014 | 0.5688 |
| 50 | 1.0339 | 0.2639 | 2.0787 | 0.4191 | 3.0639 | 0.5405 |
(30, 30, 30) | 45 | 1.0724 0 | .2963 | 2.0583 | 0.4274 | 3.0872 | 0.5358 |
| 60 | 1.0252 | 0.2540 | 2.0957 | 0.3907 | 3.0558 | 0.5065 |
| 75 | 1.0153 | 0.2169 | 2.0354 | 0.3572 | 3.0766 | 0.4857 |
Table 4.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.9.
Table 4.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.9.
|
r
| = 0.9, c = −1
|
---|
|
ER
| |
ER
| |
ER(
)
|
---|
(10, 10, 10) | 15 | 1.2924 | 0.5662 | 2.2548 | 0.7427 | 3.3118 | 0.9021 |
| 20 | 1.1990 | 0.5045 | 2.2362 | 0.6836 | 3.2827 | 0.8566 |
| 25 | 1.1805 | 0.4457 | 2.2098 | 0.6479 | 3.2353 | 0.8091 |
(20, 20, 20) | 30 | 1.1664 | 0.4280 | 2.1739 | 0.5844 | 3.2105 | 0.7427 |
| 40 | 1.1012 | 0.3541 | 2.1414 | 0.5186 | 3.1937 | 0.7014 |
| 50 | 1.0763 | 0.2996 | 2.1398 | 0.4826 | 3.1701 | 0.6397 |
(30, 30, 30) | 45 | 1.1127 | 0.3468 | 2.1500 | 0.5000 | 3.2210 | 0.6480 |
| 60 | 1.0911 | 0.2916 | 2.0927 | 0.4305 | 3.1516 | 0.5857 |
| 75 | 1.0764 | 0.2452 | 2.1118 | 0.4011 | 3.1384 | 0.5517 |
| r | = 0.9, c = −0.75 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.2242 | 0.5390 | 2.2262 | 0.7190 | 3.2448 | 0.8698 |
| 20 | 1.1704 | 0.4868 | 2.1929 | 0.6805 | 3.2537 | 0.8441 |
| 25 | 1.1217 | 0.4186 | 2.1849 | 0.6323 | 3.2040 | 0.7893 |
(20, 20, 20) | 30 | 1.1633 | 0.4295 | 2.1419 | 0.5709 | 3.1816 | 0.7413 |
| 40 | 1.1009 | 0.3548 | 2.0763 | 0.5131 | 3.1570 | 0.6703 |
| 50 | 1.0710 | 0.2932 | 2.1185 | 0.4773 | 3.1497 | 0.6551 |
(30, 30, 30) | 45 | 1.0610 | 0.3314 | 2.1260 | 0.4933 | 3.1146 | 0.6249 |
| 60 | 1.0666 | 0.2838 | 2.1065 | 0.4281 | 3.1417 | 0.5752 |
| 75 | 1.0353 | 0.2327 | 2.1163 | 0.3986 | 3.0907 | 0.5386 |
| r | = 0.9, c = −0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.1966 | 0.5169 | 2.2178 | 0.7047 | 3.1951 | 0.8582 |
| 20 | 1.1408 | 0.4747 | 2.1926 | 0.6692 | 3.1770 | 0.8263 |
| 25 | 1.1171 | 0.4128 | 2.1510 | 0.6177 | 3.1755 | 0.7808 |
(20, 20, 20) | 30 | 1.1210 | 0.4090 | 2.1776 | 0.5749 | 3.1854 | 0.7334 |
| 40 | 1.0767 | 0.3399 | 2.0959 | 0.5071 | 3.1243 | 0.6774 |
| 50 | 1.0738 | 0.2905 | 2.0930 | 0.4726 | 3.1130 | 0.6230 |
(30, 30, 30) | 45 | 1.0529 | 0.3257 | 2.1211 | 0.4892 | 3.0968 | 0.6160 |
| 60 | 1.0611 | 0.2799 | 2.1081 | 0.4329 | 3.0707 | 0.5613 |
| 75 | 1.0411 | 0.2381 | 2.0810 | 0.3891 | 3.0885 | 0.5405 |
Table 5.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.1.
Table 5.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.1.
|
r
| = 0.1,
= 0.1
|
---|
|
ER
| |
ER
| |
ER(
)
|
---|
(10, 10, 10) | 15 | 1.0210 | 0.1170 | 1.9743 | 0.1653 | 2.9286 | 0.2008 |
| 20 | 1.0142 | 0.1380 | 1.9768 | 0.1841 | 2.9291 | 0.2122 |
| 25 | 1.0101 | 0.1492 | 1.9707 | 0.1888 | 2.9283 | 0.2173 |
(20, 20, 20) | 30 | 1.0051 | 0.1531 | 1.9962 | 0.2068 | 2.9430 | 0.2423 |
| 40 | 1.0176 | 0.1589 | 1.9997 | 0.2128 | 2.9496 | 0.2489 |
| 50 | 1.0070 | 0.1599 | 2.0026 | 0.2152 | 2.9737 | 0.2562 |
(30, 30, 30) | 45 | 1.0132 | 0.1556 | 1.9823 | 0.2144 | 2.9669 | 0.2624 |
| 60 | 1.0328 | 0.1571 | 2.0014 | 0.2161 | 2.9830 | 0.2670 |
| 75 | 1.0286 | 0.1525 | 1.9916 | 0.2147 | 2.9812 | 0.2658 |
| r | = 0.1, = 0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 0.8878 | 0.1371 | 1.7221 | 0.3093 | 2.5511 | 0.4943 |
| 20 | 0.8993 | 0.1604 | 1.7433 | 0.3208 | 2.5696 | 0.4673 |
| 25 | 0.9016 | 0.1529 | 1.7496 | 0.2950 | 2.5751 | 0.4683 |
(20, 20, 20) | 30 | 0.9071 | 0.1482 | 1.7606 | 0.2691 | 2.6117 | 0.4220 |
| 40 | 0.9295 | 0.1565 | 1.7884 | 0.2818 | 2.6441 | 0.4162 |
| 50 | 0.9393 | 0.1527 | 1.8166 | 0.2720 | 2.6610 | 0.4167 |
(30, 30, 30) | 45 | 0.9200 | 0.1488 | 1.8062 | 0.2794 | 2.6713 | 0.4136 |
| 60 | 0.9372 | 0.1515 | 1.8286 | 0.2558 | 2.6870 | 0.3724 |
| 75 | 0.9495 | 0.1436 | 1.8550 | 0.2523 | 2.7153 | 0.3719 |
Table 6.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.5.
Table 6.
Average value of Bayesian estimators and estimated risk for different choices of and , , = 0.5.
|
r
| = 0.5,
= 0.1
|
---|
|
ER
| |
ER
| |
ER(
)
|
---|
(10, 10, 10) | 15 | 1.1664 | 0.3981 | 2.1587 | 0.5353 | 3.1247 | 0.6201 |
| 20 | 1.1304 | 0.3859 | 2.1463 | 0.5218 | 3.1495 | 0.6164 |
| 25 | 1.1077 | 0.3516 | 2.1239 | 0.4970 | 3.0751 | 0.6016 |
(20, 20, 20) | 30 | 1.1254 | 0.3542 | 2.1249 | 0.4814 | 3.1296 | 0.5894 |
| 40 | 1.0891 | 0.3111 | 2.1256 | 0.4537 | 3.1219 | 0.5709 |
| 50 | 1.0726 | 0.2733 | 2.0812 | 0.4193 | 3.1096 | 0.5423 |
(30, 30, 30) | 45 | 1.0923 | 0.3031 | 2.0966 | 0.4231 | 3.0681 | 0.5447 |
| 60 | 1.0882 | 0.2650 | 2.0497 | 0.3894 | 3.0733 | 0.5108 |
| 75 | 1.0281 | 0.2246 | 2.0805 | 0.3624 | 3.1313 | 0.4823 |
| r | = 0.5, = 0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.0765 | 0.3300 | 1.9605 | 0.4364 | 2.8693 | 0.5419 |
| 20 | 1.0658 | 0.3294 | 1.9662 | 0.4388 | 2.8899 | 0.5379 |
| 25 | 1.0588 | 0.3133 | 1.9698 | 0.4253 | 2.8856 | 0.5215 |
(20, 20, 20) | 30 | 1.0418 | 0.3126 | 2.0013 | 0.4207 | 2.9282 | 0.5278 |
| 40 | 1.0619 | 0.2852 | 1.9951 | 0.4012 | 2.9664 | 0.5122 |
| 50 | 1.0700 | 0.2616 | 2.0169 | 0.3881 | 2.9589 | 0.4893 |
(30, 30, 30) | 45 | 1.0319 | 0.2783 | 2.0101 | 0.3914 | 2.9623 | 0.5000 |
| 60 | 1.0443 | 0.2474 | 2.0633 | 0.3658 | 2.9677 | 0.4717 |
| 75 | 1.0523 | 0.2186 | 2.0166 | 0.3378 | 2.9503 | 0.4375 |
Table 7.
Average value of Bayesian estimators and estimated risk for different choices of and , = 0.9.
Table 7.
Average value of Bayesian estimators and estimated risk for different choices of and , = 0.9.
|
r
| = 0.9,
= 0.1
|
---|
|
ER
| |
ER
| |
ER(
)
|
---|
(10, 10, 10) | 15 | 1.2562 | 0.5469 | 2.2520 | 0.7191 | 3.2732 | 0.8542 |
| 20 | 1.1807 | 0.4765 | 2.1859 | 0.6733 | 3.2325 | 0.8172 |
| 25 | 1.1446 | 0.4205 | 2.1617 | 0.6125 | 3.1943 | 0.7835 |
(20, 20, 20) | 30 | 1.1599 | 0.4211 | 2.1708 | 0.5825 | 3.1887 | 0.7187 |
| 40 | 1.0989 | 0.3501 | 2.1293 | 0.5098 | 3.1658 | 0.6590 |
| 50 | 1.0761 | 0.2956 | 2.1474 | 0.4839 | 3.1444 | 0.6305 |
(30, 30, 30) | 45 | 1.0794 | 0.3410 | 2.1228 | 0.4857 | 3.1381 | 0.6270 |
| 60 | 1.0735 | 0.2820 | 2.0872 | 0.4301 | 3.0966 | 0.5732 |
| 75 | 1.0380 | 0.2370 | 2.0931 | 0.3952 | 3.1160 | 0.5311 |
| r | = 0.9, = 0.5 |
| ER | | ER | | ER() |
(10, 10, 10) | 15 | 1.1740 | 0.4682 | 2.1289 | 0.6062 | 3.0448 | 0.7299 |
| 20 | 1.1486 | 0.4443 | 2.1051 | 0.5959 | 3.0577 | 0.7124 |
| 25 | 1.0937 | 0.3885 | 2.0651 | 0.5546 | 3.0121 | 0.6752 |
(20, 20, 20) | 30 | 1.1146 | 0.3892 | 2.0960 | 0.5320 | 3.0475 | 0.6468 |
| 40 | 1.0707 | 0.3259 | 2.1091 | 0.4891 | 3.0329 | 0.6075 |
| 50 | 1.0769 | 0.2872 | 2.0808 | 0.4544 | 3.0330 | 0.5710 |
(30, 30, 30) | 45 | 1.0966 | 0.3287 | 2.0929 | 0.4571 | 3.0283 | 0.5798 |
| 60 | 1.0432 | 0.2743 | 2.0772 | 0.4116 | 3.0108 | 0.5305 |
| 75 | 1.0484 | 0.2314 | 2.0513 | 0.3707 | 3.0292 | 0.5052 |
Table 8.
The failure time data for X1, X2, and X3, and their order (w, ji), where δji = 1.
Table 8.
The failure time data for X1, X2, and X3, and their order (w, ji), where δji = 1.
Sample | Data |
---|
X1 | 1.89, 4.03, 1.54, 0.31, 0.66, 1.7, 2.17, 1.82, 9.99, 2.24 |
X2 | 1.17, 3.87, 2.8, 0.7, 3.82, 0.02, 0.5, 3.72, 0.06, 3.57 |
X3 | 8.11, 3.17, 5.55, 0.80, 0.20, 1.13, 6.63, 1.08, 2.44, 0.78 |
Ordered data (w, ji) |
(0.02,2), (0.06,2), (0.20,3), (0.31,1), (0.50,2), (0.66,1), (0.70,2), (0.78,3), (0.80,3), (1.083) (1.13,3), (1.17,2), (1.54,1), (1.70,1), (1.82,1), (1.89,1), (2.17,1), (2.24,1), (2.44,3), (2.80,2) (3.17,3), (3.57,2), (3.72,2), (3.82,2), (3.87,2), (4.03,1), (5.55,3), (6.63,3), (8.11,3), (9.99,1) |
Table 9.
ML and Bayesian estimates of the parameters θ1, θ2, θ3 for different choices of r, = 0.1 and ∆ = ∆2.
Table 9.
ML and Bayesian estimates of the parameters θ1, θ2, θ3 for different choices of r, = 0.1 and ∆ = ∆2.
r | r1, r2, r3 | | | | |
---|
20 | (8, 6, 6) | ML | 0.4759 | 0.3647 | 0.3706 |
| | Bayesian | = 0.1 | ∆2 | |
| | SE c = −1 | 0.4205 | 0.4390 | 0.3464 |
GE c = −0.75 | 0.3937 | 0.4079 | 0.3219 |
GE c = −0.5 | 0.4098 | 0.4266 | 0.3366 |
Linex ν = 0.1 | 0.4156 | 0.4330 | 0.3427 |
Linex ν = 0.5 | 0.3977 | 0.4113 | 0.3289 |
25 | (8, 10, 7) | ML | 0.4759 | 0.4943 | 0.3663 |
| | Bayesian | η = 0.1 | ∆2 | |
| | SE c = −1 | 0.4205 | 0.4971 | 0.3462 |
| | GE c = −0.75 | 0.3937 | 0.4684 | 0.3230 |
| | GE c = −0.5 | 0.3665 | 0.4393 | 0.2994 |
| | Linex ν = 0.1 | 0.4156 | 0.4911 | 0.3427 |
| | Linex ν = 0.5 | 0.3977 | 0.4686 | 0.3297 |
30 | (10, 10, 10) | ML | 0.3795 | 0.4943 | 0.3346 |
| | Bayesian | η = 0.1 | ∆2 | |
| | SE c = −1 | 0.3820 | 0.4971 | 0.3339 |
| | GE c = −0.75 | 0.3600 | 0.4684 | 0.3146 |
| | GE c = −0.5 | 0.3376 | 0.4393 | 0.2951 |
| | Linex ν = 0.1 | 0.3784 | 0.4911 | 0.3312 |
| | Linex ν = 0.5 | 0.3649 | 0.4686 | 0.3207 |
Table 10.
Bayesian estimates of the parameters θ1, θ2, θ3 for different choices of r; = 0.5 and ∆ = ∆2.
Table 10.
Bayesian estimates of the parameters θ1, θ2, θ3 for different choices of r; = 0.5 and ∆ = ∆2.
r | r1, r2, r3 | | | | |
---|
20 | (8, 6, 6) | SE c = −1 | 0.4543 | 0.3912 | 0.3605 |
| | GE c = −0.75 | 0.4433 | 0.3794 | 0.3497 |
| | GE c = −0.5 | 0.4322 | 0.3676 | 0.3387 |
| | Linex ν = 0.1 | 0.4523 | 0.3893 | 0.3589 |
| | Linex ν = 0.5 | 0.4443 | 0.3819 | 0.3526 |
25 | (8, 10, 7) | SE c = −1 | 0.4543 | 0.4953 | 0.3584 |
| | GE c = −0.75 | 0.4433 | 0.4852 | 0.3488 |
| | GE c = −0.5 | 0.4322 | 0.4751 | 0.3391 |
| | Linex ν = 0.1 | 0.4523 | 0.4932 | 0.3570 |
| | Linex ν = 0.5 | 0.4443 | 0.4853 | 0.3515 |
30 | (10, 10, 10) | SE c = −1 | 0.3803 | 0.4953 | 0.3344 |
| | GE c = −0.75 | 0.3726 | 0.4852 | 0.3276 |
| | GE c = −0.5 | 0.3648 | 0.4751 | 0.3207 |
| | Linex ν = 0.1 | 0.3791 | 0.4932 | 0.3334 |
| | Linex ν = 0.5 | 0.3744 | 0.4853 | 0.3298 |