Research Article
A Cost of Misclassification Adjustment Approach for Estimating Optimal Cut-Off Point for Classification
Table 6
Estimates of the mixture components for the two Bayesian models.
| ā | Mean | SD | Confidence interval |
| BM1 | | 3.0230 | 0.0593 | (2.9200, 3.1480) | | 3.7240 | 0.0051 | (3.7150, 3.7330) | | 0.9855 | 0.0049 | (0.9726, 0.9927) | | 0.0145 | 0.0049 | (0.0072, 0.0274) | | 0.0274 | 0.0012 | (0.0256, 0.0297) |
| BM2 | | 3.0410 | 0.0670 | (2.9030, 3.1600) | | 3.7110 | 0.0050 | (3.7030, 3.7210) | | 0.9848 | 0.0053 | (0.9735, 0.9915) | | 0.0152 | 0.0053 | (0.0085, 0.0265) | | 0.0269 | 0.0013 | (0.0246, 0.0294) |
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