Sentence examples for a probability of observing from inspiring English sources

a, Probability of observing an augmented subclinical infection (irrespective of serotype) occurs at different time intervals within the same school of a detected symptomatic case relative to the probability of observing an augmented subclinical infection occurring in a different school in that same time interval.

The normalised sum of all these gaussians is the p.d.f. of the likelihood model, i.e. the model assigns a probability of observing a certain Zernike PCA vector, for any given object: (P mathrm{tactile}_mathrm{vector}|mathrm{object}_mathrm{label})).

Since the sequencing itself is a stochastic process, it is very natural to characterize concordance of reads and an assembly by giving a probability of observing a particular read.

Thus, we can also assign a probability of observing a gap for each sequence position in the target species, which in turn depends on the distribution of gaps in the other species.

The most basic approach is to use statistical tests to calculate a probability of observing a data point given a null distribution, and then apply a threshold to label outliers.

Using the LD-based genetic map length of the 100 kb around these four regions, we found that this clustering is highly unexpected, with a probability of observing two independent tracts within the four regions ranging from p = 2.9 × 10−6 to 1.9 × 10−4 (for each region independently; see 'Materials and methods' 'Examination of regions containing clustered NCOs').

Genotype determination requires multiple reads overlapping a single position to give a high probability of observing both alleles at a potential heterozygous site.

This model serves the double purpose of merging CNV calls across exons, as well as specifying a prior probability of observing a CNV for each exon.

Therefore, positive scores indicate a higher probability of observing a given set of substitutions if the ancestral sequence were coding, while a negative score actually indicates a greater likelihood of observing those substitutions under a non-coding model.

The estimated marginal effects for Galway, Madrid and Venice indicate a higher probability of observing the allocation that reflects a proportional distribution of losses compared to the sample from Athens.

With a sample size of 15 patients, if the true incidence of DLT was 10%, there would be a 79% probability of observing at least one DLT and a 45% probability of observing two or more DLTs.