Sentence examples for data and the probability from inspiring English sources

Show me the data and the probability tree.

The resulting stresses are compared with experimental data and the probability of failure is calculated considering a Weibull model.

According to historical load data and the probability distribution of distributed generation output, clustering methods based on K-means and discretization methods are employed to obtain typical scenarios representative of uncertainties.

In this section, we evaluate the efficiency of the ECMP scheme by comparing its performance to the performance of baseline single path routing, MCMP and LDPR algorithms and the impact of different routing parameters such as the sensing intensity (number of sensor nodes generating data) and the probability of meeting the reliability constraints on the efficiency of the ECMP model.

To determine the fitness value, we use the time to event data and the probability of each parameter combination for any therapy to compute event-free survival rates.

The probability of any of these events occurring is dependent on treatment-specific median time to progression (TTP) data and the probability of dying on each treatment.

Ottesen et al. (1999) had earlier introduced a QRA-based statistical technique specifically for wellbore stability analyses to measure uncertainties in input data and the probabilities of their effect in relation to mud pressures.

This technique allows statistical models to be created accounting for data levels, and the probability of data groups coming from the same population of data were inferred by comparing models using analysis of variance comparisons.

Our results demonstrate that the data delivery delay and rate of our algorithm outperform those of non-cooperative data delivery, and the probability of data distribution of our scheme is 4%, 12%, and 19% higher than that of LGC, LCA, and LRU.

The inclusion of 627 patients with >5 years of observation, with some patients having received up to 17 rituximab courses over 9.5 years of observation, affords a high level of confidence in the data and increases the probability of detecting common and infrequent safety risks compared with previous studies.

To apply ASSAP to the modeling of industrial processes, an active-learning strategy is firstly used to obtain constraints on data based on the angle of change between two data points and the probability of their belonging to the same class, and then the constraints are used to adjust the clustering process so as to improve the clustering precision.