Research Article
Designing Bayesian Sampling Plans with Adaptive Progressive Hybrid Censored Samples
Table 1
Lin and Huang’s [
3] sampling plans and the associated MBR for type-I APHCS with
,
,
, and
.
| | Case | ( | | | | ) | ( | | | | ) | MBR |
| | 1 | 1.5 | 2.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.0340 | 0.0170 | 3.7787 | | 2 | 2.0 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0888 | 0.0127 | 4.4285 | | 3 | 2.5 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0478 | 0.0102 | 5.1695 | | 4 | 3.0 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0169 | 0.1713 | 5.5387 | | 5 | 3.5 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0145 | 0.6335 | 5.5112 | | 6 | 4.0 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0127 | 0.2589 | 5.5379 | | 7 | 5.0 | 2.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0102 | 0.1489 | 5.5186 | | 8 | 1.5 | 0.8 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0136 | 4.7503 | 5.5397 | | 9 | 1.5 | 1.0 | 1.0 | 2 | 5 | 1 | 1 | (0) | 0.0170 | 0.4695 | 5.5463 | | 10 | 1.5 | 3.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.0511 | 0.0255 | 3.0253 | | 11 | 1.5 | 4.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.0681 | 0.0340 | 2.7856 | | 12 | 1.5 | 5.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.0851 | 0.0426 | 2.6627 | | 13 | 1.5 | 10.0 | 1.0 | 2 | 5 | 2 | 1 | (1) | 0.1702 | 0.0851 | 2.5743 | | 14 | 1.5 | 2.0 | 2.0 | 2 | 5 | 1 | 1 | (0) | 0.1008 | 0.0170 | 4.5823 | | 15 | 1.5 | 2.0 | 2.5 | 2 | 5 | 1 | 1 | (0) | 0.0823 | 0.0170 | 4.9578 | | 16 | 1.5 | 2.0 | 3.0 | 2 | 5 | 1 | 1 | (0) | 0.0582 | 0.0170 | 5.3073 | | 17 | 1.5 | 2.0 | 5.0 | 2 | 5 | 1 | 1 | (0) | 0.0340 | 6.1106 | 5.5806 | | 18 | 1.5 | 2.0 | 7.5 | 2 | 5 | 1 | 1 | (0) | 0.0340 | 6.3531 | 5.5806 | | 19 | 1.5 | 2.0 | 10.0 | 2 | 5 | 1 | 1 | (0) | 0.0340 | 6.1438 | 5.5806 | | 20 | 1.5 | 2.0 | 1.0 | 0 | 5 | 1 | 1 | (0) | 0.4109 | 0.0170 | 3.4057 | | 21 | 1.5 | 2.0 | 1.0 | 1 | 5 | 1 | 1 | (0) | 0.1738 | 0.0170 | 3.6471 | | 22 | 1.5 | 2.0 | 1.0 | 3 | 5 | 2 | 1 | (1) | 0.0340 | 0.0170 | 3.8128 | | 23 | 1.5 | 2.0 | 1.0 | 4 | 5 | 2 | 1 | (1) | 0.0340 | 0.0170 | 3.8468 | | 24 | 1.5 | 2.0 | 1.0 | 5 | 5 | 2 | 1 | (1) | 0.0340 | 0.0170 | 3.8808 | | 25 | 1.5 | 2.0 | 1.0 | 10 | 5 | 2 | 1 | (1) | 0.0340 | 0.0170 | 4.0511 | | 26 | 1.5 | 2.0 | 1.0 | 2 | 10 | 2 | 2 |
(2 * 0) | 0.0340 | 0.0170 | 3.8111 | | 27 | 1.5 | 2.0 | 1.0 | 2 | 15 | 2 | 1 | (1) | 0.0340 | 0.0170 | 3.8434 | | 28 | 1.5 | 2.0 | 1.0 | 2 | 20 | 2 | 1 | (1) | 0.0348 | 0.0170 | 3.8757 | | 29 | 1.5 | 2.0 | 1.0 | 2 | 30 | 2 | 1 | (1) | 0.0447 | 0.0170 | 3.9316 | | 30 | 1.5 | 2.0 | 1.0 | 2 | 50 | 2 | 1 | (1) | 0.0597 | 0.0170 | 4.0179 | | 31 | 1.5 | 2.0 | 1.0 | 2 | 100 | 2 | 1 | (1) | 0.0867 | 0.0170 | 4.1758 |
|
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MBR: the Bayes risk reported in Lin and Huang [3].
= .
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