Sentence examples for nominal probability of from inspiring English sources

In Fig. 12, the curves of detection probability P d versus SNR of ECA-CA, ECA-B-CA and SCB-CA detectors are plotted for nominal probability of false alarm P f a =0.01.

The nominal probability of submitting a new EOBT is, however, charged directly as a penalty of the aircraft in the form of a departure delay caused by excess ground holding.

Fig. 12 The curves of detection probability versus SNR of ECA-CA, ECA-B-CA and SCB-CA detectors for nominal probability of false alarm P f a =0.01 in scenario #3.

These studies generally include only those variants in their interaction analyses that have shown some nominal probability of marginal significance (e.g. p<0.05) in previous studies.

We estimated the expected number of cis-eQTL as following a binomial law with a nominal probability of 1/(number of markers intervals/2), applied to 335 eQTL.

Conversely, the probability of an observation falling above the upper control limit by the Wald confidence interval was generally greater than the nominal probabilities of 0.025 and 0.001.

However, the coverage probability of falling above the upper limit of the 'exact' confidence interval was generally less than the nominal probabilities of 0.025 and 0.001.

By definition, the probability of an observation from an 'in control' institution falling outside the control limits was always less than the nominal probabilities of 0.025 and 0.001 for both the lower and upper control limits obtained from the prediction interval.

For both the 95%and99.8%8% control limits obtained using Wald confidence intervals the probability of an observation from an 'in control' institution falling below the lower limit was almost always less than the nominal probabilities of 0.0250 and 0.001 for the values of λ investigated.

In this paper they were defined so that the probability of falling outside a control limit was always less than, or equal to, the nominal probability: for example, the probability of falling above the upper limit of 95% control limits is always less than, or equal to, 0.025.

Without correction, it was necessary to set a nominal probability threshold of about p = 0.000001 in order to achieve an actual probability of a false positive of 0.001.