Research Article
Designing Bayesian Sampling Plans with Adaptive Progressive Hybrid Censored Samples
Table 3
Lin and Huang’s [
3] sampling plans and the associated MBR for type-II APHCS with
,
,
, and
.
| | Case | ( | | | | ) | ( | | | | ) | MBR |
| | 1 | 1.5 | 2.0 | 1.0 | 2 | 5 | 4 | 1 | (3) | 18.0196 | 0. 170 | 7.1844 | | 2 | 2.0 | 2.0 | 1.0 | 2 | 5 | 3 | 1 | (2) | 4.4317 | 0.1506 | 6.7917 | | 3 | 2.5 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 3.5540 | 0.4657 | 6.9126 | | 4 | 3.0 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.7569 | 0.7870 | 6.9878 | | 5 | 3.5 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.2151 | 1.1080 | 7.0326 | | 6 | 4.0 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 1.7355 | 1.4288 | 7.0347 | | 7 | 5.0 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0 0674 | 2.0698 | 6.9722 | | 8 | 1.5 | 0.8 | 1.0 | 2 | 5 | 3 | 1 | (2) | 7.0134 | 1.0200 | 7.4685 | | 9 | 1.5 | 1.0 | 1.0 | 2 | 5 | 3 | 1 | (2) | 6.1897 | 0.8201 | 7.4974 | | 10 | 1.5 | 3.0 | 1.0 | 2 | 5 | 3 | 1 | (2) | 17.3696 | 0.0255 | 7.9389 | | 11 | 1.5 | 4.0 | 1.0 | 2 | 5 | 3 | 1 | (2) | 6.4334 | 0.0340 | 8.9738 | | 12 | 1.5 | 5.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 50.1664 | 0.0426 | 12.9870 | | 13 | 1.5 | 10.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 14.3119 | 0.0851 | 22.7314 | | 14 | 1.5 | 2.0 | 2.0 | 2 | 5 | 4 | 1 | (3) | 8.0285 | 0.4204 | 7.9139 | | 15 | 1.5 | 2.0 | 2.5 | 2 | 5 | 4 | 1 | (3) | 18.0813 | 0.6642 | 8.1161 | | 16 | 1.5 | 2.0 | 3.0 | 2 | 5 | 4 | 1 | (3) | 15.4680 | 0.8851 | 8.2648 | | 17 | 1.5 | 2.0 | 5.0 | 2 | 5 | 4 | 1 | (3) | 0.7582 | 1.6245 | 8.6104 | | 18 | 1.5 | 2.0 | 7.5 | 2 | 5 | 4 | 1 | (3) | 9.0591 | 2.3632 | 8.8203 | | 19 | 1.5 | 2.0 | 10.0 | 2 | 5 | 4 | 1 | (3) | 8.4516 | 2.9867 | 8.9406 | | 20 | 1.5 | 2.0 | 1.0 | 0 | 5 | 1 | 1 | (0) | 15.0155 | 0.0170 | 3.6923 | | 21 | 1.5 | 2.0 | 1.0 | 1 | 5 | 3 | 1 | (2) | 6.9000 | 0.0170 | 6.0203 | | 22 | 1.5 | 2.0 | 1.0 | 3 | 5 | 5 | 1 | (4) | 4.0155 | 0.0170 | 8.0817 | | 23 | 1.5 | 2.0 | 1.0 | 4 | 5 | 5 | 1 | (4) | 18.5816 | 0.0170 | 8.8817 | | 24 | 1.5 | 2.0 | 1.0 | 5 | 5 | 5 | 1 | (4) | 14.6429 | 0.0170 | 9.6817 | | 25 | 1.5 | 2.0 | 1.0 | 10 | 5 | 5 | 1 | (4) | 16.9107 | 0.0170 | 13.6817 | | 26 | 1.5 | 2.0 | 1.0 | 2 | 10 | 4 | 1 | (3) | 11.3484 | 0.0170 | 7.2475 | | 27 | 1.5 | 2.0 | 1.0 | 2 | 15 | 4 | 1 | (3) | 4.5194 | 0.0170 | 7.3107 | | 28 | 1.5 | 2.0 | 1.0 | 2 | 20 | 4 | 1 | (3) | 5.9694 | 0.0170 | 7.3739 | | 29 | 1.5 | 2.0 | 1.0 | 2 | 30 | 4 | 1 | (3) | 1.0250 | 0.0170 | 7.5002 | | 30 | 1.5 | 2.0 | 1.0 | 2 | 50 | 4 | 1 | (3) | 15.3002 | 0.0170 | 7.7528 | | 31 | 1.5 | 2.0 | 1.0 | 2 | 100 | 4 | 1 | (3) | 15.1794 | 0.0170 | 7.3844 |
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MBR: the Bayes risk reported in Lin and Huang [3].
= .
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