|  |  | Probability (tsimulated<tobserved) | ||
---|---|---|---|---|---|
 | Test quantity ( t ) | Observed value | Scenario 1 | Scenario 2 | Scenario 3 |
Test quantities | NAL_S | 13.6000 | 0.7275 | 0.2871 | 0.6235 |
corresponding | NAL_1 | 3.4000 | 0.7542 | 0.9865 (*) | 0.4252 |
to thesummary | NAL_2 | 3.6500 | 0.6455 | 0.4102 | 0.4761 |
statistics used | HET_S | 0.8429 | 0.5621 | 0.2471 | 0.4488 |
to discriminate | HET_1 | 0.5151 | 0.4938 | 0.9890 (*) | 0.4339 |
among | HET_2 | 0.5725 | 0.9125 | 0.9188 | 0.8221 |
scenarios and | MGW_S | 0.8242 | 0.3593 | 0.7656 | 0.5230 |
compute | MGW_1 | 0.4072 | 0.3782 | 0.6713 | 0.4524 |
parameter | MGW_2 | 0.4834 | 0.6117 | 0.8499 | 0.7297 |
posterior | FST_S_1 | 0.2170 | 0.7882 | 0.0371 (*) | 0.8105 |
distributions | FST_S_2 | 0.2050 | 0.6180 | 0.4606 | 0.6052 |
 | FST_2_3 | 0.1761 | 0.0001 (***) | 0.9580 (*) | 0.6289 |
Test quantities | VAR_S | 21.7561 | 0.7476 | 0.2538 | 0.6209 |
corresponding | VAR_1 | 9.3385 | 0.4861 | 0.3561 | 0.3598 |
to summary | VAR_2 | 9.5277 | 0.5232 | 0.1792 | 0.3748 |
statistics NOT | LIK_1_S | 38.5648 | 0.7867 | 0.4503 | 0.7240 |
used to | LIK_1_2 | 31.7504 | 0.0001 (***) | 1.0000 (***) | 0.7162 |
discriminate | LIK_2_1 | 32.1075 | 0.0001 (***) | 0.9850 (*) | 0.7836 |
among | H2P_S_1 | 0.7734 | 0.6563 | 0.8411 | 0.6115 |
scenarios and | H2P_S_2 | 0.7993 | 0.9231 | 0.8239 | 0.8664 |
compute | H2P_1_2 | 0.6020 | 0.0315 (*) | 0.9975 (**) | 0.7193 |
parameter | DAS_S_1 | 0.1329 | 0.2298 | 0.4582 | 0.2639 |
posterior | DAS_S_2 | 0.1099 | 0.0559 | 0.1681 | 0.0816 |
distributions | DAS_1_2 | 0.3402 | 1.0000 (***) | 0.0001 (***) | 0.2529 |