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Table A.3

Statistical comparison of linear, quadratic, and cubic ephemeris models for WASP-19 b under different data-quality selections.

Probability Without TESS With TESS
Quantity Linear Quadratic Cubic Quantity Linear Quadratic Cubic
All data χ2 532.46 493.65 433.72 χ2 547.02 516.29 468.47
χν2Mathematical equation: $\chi^{2}_{\nu}$ 4.98 4.66 4.13 χν2Mathematical equation: $\chi^{2}_{\nu}$ 4.84 4.61 4.22
AIC 536.46 499.65 441.72 AIC 551.02 522.29 476.47
BIC 541.84 507.73 452.48 BIC 556.51 530.53 487.45
rms (s) 48.40 47.85 45.72 rms (s) 47.40 46.50 45.45
XMAD 3.25×10−4 2.91×10−4 2.51×10−4 XMAD 3.14×10−4 2.90×10−4 2.49×10−4

Best 20% χ2 146.50 134.37 111.78 χ2 151.42 148.51 114.08
χν2Mathematical equation: $\chi^{2}_{\nu}$ 8.14 7.90 6.99 χν2Mathematical equation: $\chi^{2}_{\nu}$ 8.41 8.74 7.13
AIC 150.50 140.37 119.78 AIC 155.42 154.51 122.08
BIC 152.49 143.35 123.76 BIC 157.41 157.50 126.06
rms (s) 28.73 26.67 25.45 rms (s) 29.12 28.42 26.11
XMAD 3.05×10−4 2.80×10−4 2.51×10−4 XMAD 3.54×10−4 3.41×10−4 2.59×10−4

Best 30% χ2 163.82 148.72 133.44 χ2 170.07 165.55 138.04
χν2Mathematical equation: $\chi^{2}_{\nu}$ 5.85 5.51 5.13 χν2Mathematical equation: $\chi^{2}_{\nu}$ 6.07 6.13 5.31
AIC 167.82 154.72 141.44 AIC 174.07 171.55 146.04
BIC 170.62 158.93 147.04 BIC 176.87 175.75 151.65
rms (s) 26.19 24.21 23.89 rms (s) 26.65 25.88 24.62
XMAD 2.42×10−4 2.48×10−4 2.26×10−4 XMAD 2.76×10−4 2.62×10−4 2.50×10−4

Best 40% χ2 209.07 195.98 181.31 χ2 207.89 203.88 184.86
χν2Mathematical equation: $\chi^{2}_{\nu}$ 5.50 5.30 5.04 χν2Mathematical equation: $\chi^{2}_{\nu}$ 5.47 5.51 5.14
AIC 213.07 201.98 189.31 AIC 211.89 209.88 192.86
BIC 216.45 207.05 196.06 BIC 215.27 214.95 199.61
rms (s) 31.96 30.61 30.36 rms (s) 30.44 29.98 29.12
XMAD 2.88×10−4 2.47×10−4 2.16×10−4 XMAD 2.80×10−4 2.69×10−4 2.53×10−4

Notes. Results are shown with and without the inclusion of TESS sectors and are derived from bootstrap-resampled MCMC fits with Nboot = 2000. The reported χ2, reduced χν2Mathematical equation: $\chi^{2}_{\nu}$, AIC, and BIC values are computed directly from the timing uncertainties listed in Table A.2, without additional uncertainty rescaling (see Sect. 5.1). The cross-validation metric XMAD is obtained from random hold-out tests removing 20% of the data and refitting the remaining 80% over 10000 iterations. Although none of the models achieves χν21Mathematical equation: $\chi^{2}_{\nu}\approx1$, the cubic ephemeris consistently yields lower information-criterion values and stable predictive performance across different subsets. The overall timing scatter limits the statistical significance of any single ephemeris model.

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