The log-Bayes factors (log B) and probabilities (P) of model ℳI,4 being an inadequate description of each individual set of RV’s of υ And and the rest of the data.
|Set||log B (L1)||log B (L2)||P (L1)||P (L2)|
|AFOE||–12.91||–10.81||> 0.999||> 0.999|
|HET||52.73||38.89||< 10-22||< 10-16|
|HJS||10.55||8.70||< 10-4||< 10-3|
|ELODIE||13.59||19.36||< 10-5||< 10-8|
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