Table 4:

Model evaluation $^{\dagger }$.
Model AIC (%) BIC (%) VR (%) PR (%) k
Eq. (5), fixed comb 94.010 94.065 97.755 25.50 78
Eq. (3), Scargle freqs 94.023 94.171 97.761 25.49 100
Eq. (3), NLLS freqs 94.021 94.169 97.762 25.49 100
Eq. (6), 1 freq 95.417 95.378 96.873 30.81 40
Eq. (3), Scargle freqs 95.405 95.314 96.872 30.87 28
Eq. (3), NLLS freqs 95.404 95.314 96.872 30.85 28
Eq. (6), 2 freqs 95.228 95.255 97.019 30.14 58
Eq. (3), Scargle freqs 95.204 95.130 97.017 30.24 34
Eq. (3), NLLS freqs 95.204 95.130 97.017 30.22 34
Eq. (6), 3 freqs 94.887 97.974 97.255 28.65 76
Eq. (3), Scargle freqs 94.837 94.783 97.263 28.84 43
Eq. (3), NLLS freqs 94.837 94.783 97.263 28.82 43
Eq. (6), 4 freqs 94.746 94.901 97.355 27.99 94
Eq. (3), Scargle freqs 94.687 94.664 97.361 28.29 52
Eq. (3), NLLS freqs 94.687 94.664 97.361 28.29 52

$\dagger$ The best model according to the four considered statistics are emphasised in bold.


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