Research Article
A Distribution-Free Approach to Stochastic Efficiency Measurement with Inclusion of Expert Knowledge
Table 8
DEA-Chebyshev model efficiency analysis from simulation 1 at
.
| | Upper bounds | Lower bounds | | | | St. dev | |
| DMU1 | 0.786 | 1.548 | 1.85 (8) | 2.127 (6) | 1.988 (0.63) | 0.539 | 1 | DMU2 | 0.751 | 1.272 | 1.297 (3) | 1.184 (5) | 1.24 (0.83) | 0.368 | 1 | DMU3 | 0.683 | 1.082 | 0 | 0.357 | 0.179 | 0.282 | 0.883 | DMU4 | 0.673 | 1.287 | 3.491 (7) | 1.72 (8) | 2.605 (0.02) | 0.434 | 0.98 | DMU5 | 0.47 | 0.858 | 0 | 0 | 0 | 0.275 | 0.664 | DMU6 | 0.696 | 1.096 | 0 | 0.591 | 0.295 | 0.283 | 0.896 | DMU7 | 0.643 | 1.104 | 0 | 0.547 | 0.274 | 0.326 | 0.874 | DMU8 | 0.531 | 0.892 | 0 | 0 | 0 | 0.255 | 0.712 | DMU9 | 0.767 | 1.249 | 4.839 (10) | 2.363 (9) | 3.601 (0.03) | 0.341 | 1 | DMU10 | 0.659 | 0.898 | 0 | 0 | 0 | 0.169 | 0.779 | DMU11 | 0.813 | 1.628 | 0.101 (3) | 2.328 (9) | 1.214 (0.006) | 0.577 | 0.906 | DMU12 | 0.662 | 0.822 | 0 | 0 | 0 | 0.113 | 0.742 | DMU13 | 0.768 | 0.965 | 0 | 0 | 0 | 0.14 | 0.867 | DMU14 | 0.906 | 2.225 | 1.53 (4) | 2.193 (8) | 1.862 (0.55) | 0.932 | 1 | DMU15 | 0.92 | 3.232 | 1.892 (2) | 1.592 (5) | 1.742 (0.75) | 1.635 | 1 |
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