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In the same way, in 802.11n criterion, the model is still followed this case.
With this criterion, the model with a smaller value of the AIC is expected to perform better prediction.
Based on the Somers D xy criterion, the model fitted very adequately to the branded substitution data (D xy = 0.981).
Given a particular response criterion, the model stops sampling and initiates a decision when the posterior probability of any of the alternatives crosses the response criterion.
That is, given the noisy nature of the stimulus and a particular response criterion, the model shows what the optimal behavior should be to minimize response times.
When, for a particular duration T and movement direction μ j, the the posterior probability reaches a response criterion, the model provides response j with decision time T.
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Based on various specified evaluation criteria, the model can optimize a phased development plan.
According to these criteria, the model that best fitted that data was the least restrictive scaling Model Model 4 (Table 4).
Moreover, among the selected criteria, the model proposed by Lou et al. (2012) delivers the best results for selected experimental set.
To enable selection of designs according to these criteria, the model of triose phosphate isomerase from S. cerevisia [11], was repacked and minimized in Rosetta, with the same cstfile as used in the designs.
However, if one starts with the disease and takes into account the economic role of the species in another category of criteria, the model can be applied anywhere.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com