Table 1.
Analysis of the results.
| Method | O–C (%) average | O–C (%) median | c1 | c0 | cc |
|---|---|---|---|---|---|
| rot-2/b, k = 0.65 | 0.04 ± 0.41 | 0.09 | 0.84 ± 0.13 | −0.12 ± 0.12 | 0.86 |
| rot-2/δb, k = 0.30 | −0.19 ± 0.61 | −0.24 | 1.01 ± 0.20 | 0.20 ± 0.19 | 0.81 |
| rot-11/b, k = 0.90 | −0.10 ± 0.69 | −0.08 | 1.28 ± 0.13 | 0.46 ± 0.21 | 0.89 |
| rot-11/δb, k = 0.75 | 0.27 ± 0.68 | 0.28 | 0.90 ± 0.14 | −0.40 ± 0.22 | 0.80 |
| SEA/b, k = 0.80 | −0.16 ± 0.79 | 0.05 | 1.13 ± 0.14 | 0.28 ± 0.22 | 0.87 |
| SEA/δb, k = 0.85 | 0.19 ± 0.90 | 0.17 | 0.91 ± 0.17 | −0.28 ± 0.26 | 0.78 |
| schematic/b, k = 1.5 | 0.27 ± 0.70 | 0.44 | 0.87 ± 0.11 | −0.44 ± 0.27 | 0.94 |
| Mean | 0.05 ± 0.20 | 0.10 ± 0.22 | 0.99 ± 0.16 | −0.04 ± 0.36 | 0.85 ± 0.06 |
Notes. Mean O–C values with the corresponding standard deviations and median O–C values, the slopes c1, the y-axis intercepts c0, and the correlation coefficients of the linear least-squares fits y = c1x + c0, where x represents the observed and y the modeled values. The last row shows the mean value and the corresponding standard deviation for each column.
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