Table 3.
KS statistic and correspondent p-values obtained from comparisons between different distributions shown in Fig. 5.
| Model 1 | Model 2 | KS stat. | p-value |
|---|---|---|---|
| SMBHB_set | Diagonal | 0.1707 | 0.5945 |
| Noise fixed | |||
| createGWB_set | Diagonal | 0.0732 | 0.9999 |
| Noise fixed | |||
| SMBHB_set | Diagonal | 0.3590 | 0.0125 |
| Full analysis | |||
| createGWB_set | Diagonal | 0.1538 | 0.7523 |
| Full analysis | |||
| SMBHB_set | createGWB_set | 0.1463 | 0.7789 |
| Noise fixed | Noise fixed | ||
| SMBHB_set | createGWB_set | 0.2821 | 0.0897 |
| Full analysis | Full analysis |
Notes. With diagonal we refer to the theoretical prediction for unbiased recoveries, which corresponds to the diagonal of the plot. The other distributions analysed are the dashed and solid lines of that P–P plot. The p-value in the second raw is almost perfect (0.9999); this confirms the good fit between the AGWB recovery for the createGWB_set when the other noise parameters are fixed.
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