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We see that at higher model order, the number of tested models only slightly increases, while the number of maximum models reaches infeasible numbers.
As a reference scenario of the 1707 event, we first selected the simulation-based Mw9-class earthquake of Hyodo and Hori (2013), which has a similar source area to the maximum models of Cabinet Office (2012); although the maximum slip at the up-dip end is less than half.
Table 3 shows the number of all possible backoff paths given the model order n and the current factor k. The number of maximum models is based on Eq. 5; however, we also limited the backoff path length to eight factors.
Meaningful interactions between these factors were included in the maximum models.
The maximum models were fitted then simplified to the minimum adequate models through backward elimination of non-significant terms and model comparison using ANOVA.
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We also modeled alcohol consumption on the log scale, which had maximum model fit, with similar results; for ease of interpretation, those results are not shown.
The maximum model order N and the number of factors per word K are given.
The distributions of maximum model performance are calculated in the following way.
Moreover, the maximum model order is equal to, for r = 1,..., R. The R-D EFT is an extended version of the M-EFT operating on the.
The most parsimonious model was selected by stepwise deletion of non significant terms from the maximum model by using Akaike's Information Criterion.
The maximum modeling uncertainty (given by the maximum standard deviation of the 25 folds per taxon) was slightly greater than 15% in a very small area (dark blue spot in western Nayarit, Figure 6b).
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