Sentence examples for extreme probability from inspiring English sources

In particular, we demonstrate how an ensemble error norm can be used to select the most appropriate extreme probability model from a choice of cumulative distribution functions (CDFs).

ECM is based on the short-term extreme probability distribution of an environmental conditions selected on the environmental contour with the same return period as the long-term extreme response (e.g. 50-year environmental contour for 50-year extreme responses).

For offshore structures, one simplified method is the environmental contour method (ECM), which uses the short-term extreme probability distribution of important environmental conditions selected on the contour surface with the relevant return periods.

Three extreme probability distributions give similar thrust exceedance values with the Type 1 Pareto in mid range which gives 1 100, 1 1000 and 1 10 000 exceedance thrust forces of 1.38, 1.5 and 1.59 times the mean value.

This distinction between limit states forces engineers to: (i) characterize both the point-in-time and extreme probability distributions of the random variables involved (agents), which are characterized independently, and (ii) use the appropriate distribution for each limit state depending on the failure consequences.

Many of the scores span extreme probability values above 0.5 (50,758) and below 0.5 (9084) as shown by the density and histograms seen in the figure.

We consider the consequences of the globality of the P function and of extreme probabilities.

Applying the logic of extreme probabilities to real-world defeasible reasoning generates an obvious problem, however.

The models of Commonsense Entailment differ significantly from those of preferential logic and the logic of extreme probabilities.

However, there is no reason why the logic of extreme probabilities couldn't be given a different interpretation, with (p ⇒ q) representing something like the objective probability of q, conditional on p, is infinitely close to 1.

Contraposition, for example — inferring (¬q ⇒ ¬p) from (p ⇒ q) — is not logically valid for default conditionals, but it might be a defeasibly correct inference.[8] The one critical drawback to Commonsense Entailment, when compared to the logic of extreme probabilities, is that it lacks a single, clear standard of normativity.