Sentence examples for probable interval from inspiring English sources

However, our focus on this early time period was intended to capture the most probable interval in which safety problems could be detected.

In our study we were only able to recover the two mammograms (screening and diagnosis) necessary for the correct classification of probable interval cancers in 50% of cases as well as in other studies [ 15].

Latin hypercube sampling is a stratified sampling procedure where the probability distribution is subdivided into as many equally probable intervals as simulations will be run and one sample is drawn randomly from each such interval.

Thus to generate K parameter vectors, each sampled parameter distribution is divided into K equally probable intervals.

Utilizing this property of copy number data allows derivation of probable intervals of CNA that are less prone to noise degradation than alternative methods.

We have proposed a novel statistical method for the derivation of probable intervals of CNA, based on copy number status data from a sample of tumors.

The association-enriched regions might represent probable intervals of QTL effects, that is, QTL or the cluster of QTL may reside in the multi-locus regions or in linkage with the loci in the regions.

This is achieved by dividing each distribution into K equally probable intervals, which can then be sampled and combined into the parameter sets for running the model using a Latin hypercube design.

Samples were generated from the joint distribution of these parameters, assuming independence, by Latin hypercube sampling [ 31, 32], in which each parameter distribution is divided into equally probable intervals and combined into parameter sets using a Latin hypercube design in which each parameter interval appears once.

The last subcategory of unsupervised biometric discretization, known as equal-probable quantization-based discretization [14] segments each single-dimensional feature space into multiple non-overlapping equal-probable intervals, whereby every interval is constructed to encapsulate an equal portion of background probability mass during quantization.

Since the entropy per dimension l is logarithmically proportional to the number of equal-probable intervals S (or lfs & Sfs for our approach) constructed in each dimension, this can be written as l = L ∕ D = log 2 S for typical EP discretization scheme (9).