Table 1
Source sample properties and comparison of measured IDCs with Bayesian estimates and Monte Carlo simulations.
| Source | Orbital | Observation | IDCa | Bayesian method | Monte Carlo simulations | ||||
| period | N | Type | confidence intervals b |
c
|
Sad | ||||
| (d) | (%) | 68.3% | 95.4% | 99.7% | (%) | ||||
|
|
|||||||||
| IGR J08408−4503 | – | 77 | Y | 67.2 | 61.5–72.1 | 55.8–76.8 | 50.1–81.2 | 67.3 ± 5.6 | 40 |
| IGR J16328−4726 | 10.076 | 94 | Y | 61.0 | 55.8–65.8 | 50.7–70.4 | 45.5–74.8 | 61.0 ± 5.6 | 40 |
| IGR J16465−4507 | 30.243 | 61 | Y | 5.1 | 3.5–9.5 | 1.8–13.9 | 0.8–19.2 | 5.2 ± 2.9 | 40 |
| IGR J16479−4514 | 3.3193 | 139 | Y | 19.4 | 16.5–23.2 | 13.6–26.9 | 11.0–30.9 | 19.4 ± 3.6 | 80 |
| XTE J1739−302 | 51.47 | 181 | Y | 38.8 | 35.3–42.5 | 31.9–46.2 | 28.5–49.9 | 39.0 ± 4.7 | 70 |
| IGR J17544−2619 | 4.926 | 138 | Y | 54.5 | 50.2–58.6 | 46.0–62.7 | 41.8–66.7 | 54.5 ± 5.3 | 50 |
| AX J1841.0−0536 | – | 87 | Y | 28.4 | 24.1–33.7 | 19.8–38.9 | 16.0–44.2 | 28.5 ± 5.6 | 40 |
| IGR J16418−4532 | 3.73886 | 15 | O | 11.0 | 7.2–24.1 | 3.0–36.1 | 0.9–49.1 | 11.3 ± 8.0 | – |
| IGR J17354−3255 | 8.448 | 22 | O | 33.4 | 25.1–44.5 | 17.2–54.9 | 11.0–64.8 | 33.3 ± 10.4 | – |
| IGR J18483−0311 | 18.545 | 23 | O | 26.6 | 19.5–37.5 | 12.7–47.6 | 7.6–57.8 | 26.7 ± 9.4 | – |
Notes.
From Eq. (2) (see Romano et al. 2014, and references therein).
Simulated sample mean and standard variance (Sect. 3, M = 104 data sets drawn from the observed sample of size N).
Minimum number of observations required for an IDC with the desired accuracy (Sect. 3.1, M = 104 data sets, drawn from a sample of size S = 10,20,30,...,N).
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