Sentence examples for existing probability from inspiring English sources

The proposed methodology compares well with the existing probability distribution functions when the MOM method is applied.

Among the existing probability distributions, the two or three parameter Weibull distribution is generally used in adjusting material resistance results, although the method of use thereof is not always correct.

The proofs of our results are both interesting and difficult, and the problems of proof of these results are difficult to be solved by means of the existing probability and statistics theories.

The measured ion current with cell apical surface fluctuation was assumed to be a convolution of the non-fluctuation-based ion-current relation, I 0, and the existing probability of cell surface position at z, P z).

When we set 1 − a as the existing probability of estimation error within the error tolerance limit (i.e., P − ϵ < p ^ − p < + ϵ = 1 − a ), P − ϵ < p ^ − p < + ϵ can be transformed into P − ϵ p 1 − p / n < p ^ − p p 1 − p / n < + ϵ p 1 − p / n.

In our clinical genetic setting, five existing probability models for the selection of BRCA mutation-positive families were analysed: Claus, Frank, Gilpin, Evans1 and Evans2.

The objective is to determine the marginal distributions for each target and their existing probabilities at time step k.

We conducted a 10 years prediction with individuals beginning with different states of MS according to the existing transition probability.

The results show that CTFP can not only detect the important variables for the total failure probability as effectively as the existing failure probability-based importance measure but also identify regions of the input space that contribute substantially to the total failure probability.

One can also see that, even with 8 existing NBIs, the probability of successful positioning is still above 95%, indicating its robustness against NBI. Figure 10 Probability of successful positioning, P s, under multiple NBIs, M. Figures 11 and 12 show simulation results of the probability of successful positioning P s versus the SV ID S ID.

Based on new and existing representations of probability and utility potentials, we derive a method for solving LQCG influence diagrams based on variable elimination.