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Table 8

HD 20794 evidence-estimation uncertainty and performance.

Model σ^lnΖVar[lnΖ]Mathematical equation: ${{{{\hat \sigma }_{\ln \mathord{\buildrel{\lower3pt\hbox{$\scriptscriptstyle\frown$}}\over {\rm Z}} }}} \over {\sqrt {{\rm{Var}}[\ln \mathord{\buildrel{\lower3pt\hbox{$\scriptscriptstyle\frown$}}\over {\rm Z}} ]} }}$ kenits (eff)
dyn-rs SAR dyn-rs SAR
H0 2.30 11.4 0.375 (2.5) 0.889 (7.8)
1 S 0.05 0.48 0.193 (1.3) 0.679 (4.7)
2 S 0.07 0.75 0.120 (1.0) 0.242 (1.9)
3 S 0.12 2.03 0.097 (0.8) 0.207 (1.7)
3 K 0.07 0.63 0.051 (0.5) 0.046 (0.4)
4 K 0.04 0.27 0.039 (0.5) 0.030 (0.3)

Notes. The left columns show the ratio of the mean of the estimated evidence uncertainty against the standard deviation of the run-to-run evidence. The right columns show the average kenits, with the efficiency in parentheses. The models are white noise only (H0), increasing sinusoids (S), and increasing Keplerians (K).

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