Sentence examples for outcomes given by from inspiring English sources

In order to analyze the saturation throughput for the case where there are reporting errors, we have to consider all possible scenarios due to the idle/busy status of all channels, sensing outcomes given by different SUs, and error/success events in the sensing result exchange processes.

In what follows, we analyse the model outcomes, given by its stable states, for the wild-type situation and a range of relevant perturbations.

Assuming a standardised within groups difference of 1, these estimated numbers imply that about 10% of the participants will be unimproved or have negative outcomes (given by the cumulative distribution function of the Gaussian distribution).

The result of the data analysis is consistent with the outcome given by the BP neural network.

Such that, we observe only the binary outcome given by the probit model as {y_i}^{mathrm{probit}}=left y>0right) (2).

On the basis of [5], this value was computed adding the divergence between the outcome given by the testing technology and the reference value (e str ), provided by the reference system, plus the divergence between the latter and the true value (e rif ), that is to say: Open image in new window (1).

The relationship shown on the graph between the covariate and the outcome given by the GAM is linear along the entire range of X.

We next transformed the continuous probability of the outcome given by the model into a binary test, choosing a threshold based on the area under the ROC curve that provided the best specificity with at least 90% sensitivity.

A central claim of the structural approach is that responsibility judgments are sensitive to causal structure, both in terms of the network of causal relations between the relevant actions and events (the causal graph), and the causal functions that dictate how multiple causes combine to yield an outcome (given by the structural equations).

Hence, the probability in question, which equals the number of favourable outcomes divided by the number of possible outcomes, is given by the binomial distribution where p = r/(r + b) and q = b/(r + b) = 1 − p. For example, suppose r = 2b and n = 4.

The condition outcomes are given by all possible combinations of five Boolean variables (p, q, r, s, x).