Research Article
Design of Multiple Dependent State Sampling Plan Application for COVID-19 Data Using Exponentiated Weibull Distribution
Table 6
Optimal parameters of the proposed MDSSP for EWD with
at 50
th percentile.
| | | a = 0.5 | a = 0.7 | a = 1.0 | n | | | m | | n | | | m | | n | | | m | |
| 0.25 | 2 | 14 | 0 | 2 | 1 | 0.9516 | 9 | 1 | 8 | 4 | 0.9828 | 5 | 1 | 2 | 1 | 0.9683 | 4 | 11 | 0 | 2 | 2 | 0.9995 | 5 | 0 | 4 | 2 | 0.9987 | 3 | 0 | 2 | 1 | 0.9974 | 6 | 11 | 0 | 2 | 2 | 1.0000 | 5 | 0 | 4 | 2 | 0.9999 | 3 | 0 | 2 | 1 | 0.9998 | 8 | 11 | 0 | 2 | 2 | 1.0000 | 5 | 0 | 4 | 2 | 1.0000 | 3 | 0 | 2 | 1 | 1.0000 | 10 | 11 | 0 | 2 | 2 | 1.0000 | 5 | 0 | 4 | 2 | 1.0000 | 3 | 0 | 2 | 2 | 1.0000 |
| 0.10 | 2 | 29 | 1 | 3 | 2 | 0.9834 | 13 | 1 | 11 | 2 | 0.9676 | 9 | 2 | 8 | 2 | 0.9812 | 4 | 17 | 0 | 2 | 2 | 0.9987 | 8 | 0 | 1 | 1 | 0.9977 | 4 | 0 | 1 | 1 | 0.9938 | 6 | 17 | 0 | 2 | 2 | 0.9999 | 8 | 0 | 1 | 1 | 0.9999 | 4 | 0 | 1 | 1 | 0.9996 | 8 | 17 | 0 | 2 | 2 | 1.0000 | 8 | 0 | 1 | 1 | 1.0000 | 4 | 0 | 1 | 1 | 1.0000 | 10 | 17 | 0 | 2 | 2 | 1.0000 | 8 | 0 | 1 | 1 | 1.0000 | 4 | 0 | 1 | 1 | 1.0000 |
| 0.05 | 2 | 35 | 1 | 4 | 2 | 0.9715 | 17 | 1 | 4 | 1 | 0.9582 | 11 | 2 | 5 | 1 | 0.9730 | 4 | 22 | 0 | 10 | 2 | 0.9979 | 10 | 0 | 1 | 1 | 0.9964 | 5 | 0 | 2 | 1 | 0.9930 | 6 | 22 | 0 | 10 | 2 | 0.9999 | 10 | 0 | 1 | 1 | 0.9998 | 5 | 0 | 2 | 1 | 0.9995 | 8 | 22 | 0 | 10 | 2 | 1.0000 | 10 | 0 | 1 | 1 | 1.0000 | 5 | 0 | 2 | 1 | 0.9999 | 10 | 22 | 0 | 10 | 2 | 1.0000 | 10 | 0 | 1 | 1 | 1.0000 | 5 | 0 | 4 | 2 | 1.0000 |
| 0.01 | 2 | 50 | 1 | 4 | 1 | 0.9526 | 28 | 2 | 5 | 1 | 0.9737 | 17 | 3 | 8 | 1 | 0.9716 | 4 | 34 | 0 | 1 | 1 | 0.9963 | 15 | 0 | 2 | 1 | 0.9944 | 7 | 0 | 2 | 1 | 0.9866 | 6 | 34 | 0 | 1 | 1 | 0.9998 | 15 | 0 | 2 | 1 | 0.9997 | 7 | 0 | 2 | 1 | 0.9991 | 8 | 34 | 0 | 1 | 1 | 1.0000 | 15 | 0 | 2 | 1 | 1.0000 | 7 | 0 | 2 | 1 | 0.9999 | 10 | 34 | 0 | 1 | 1 | 1.0000 | 15 | 0 | 2 | 1 | 1.0000 | 7 | 0 | 2 | 1 | 1.0000 |
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