The phrase "a very large random" is not complete and lacks context, but it is grammatically correct and can be used in written English.
You can use it when describing something that is both large in size and random in nature, typically in a statistical or mathematical context.
Example: "In our experiment, we selected a very large random sample to ensure the results were statistically significant."
Alternatives: "a huge random" or "an extensive random".
Therefore, in order to obtain a comprehensive phylogenetic picture of lineage diversity in a sample set from the Druze population or populations with similar socio-demographic patterns, it is necessary to either collect a very large random sample, or to use a directed sampling strategy to ensure coverage of all of the regionally endogamous cryptic subpopulations.
In order to identify nucleic acid MREs, the SELEX process generally begins from a very large random library consisting of 10 to 10 different molecules.
We commend Coronado et al. (2004) for their use of a very large random sample of 213 farmworkers from 24 communities.
This explains why one cannot simply use a very large, random sample from an outbred population to fit the epistatic variance, as the standard error tends to infinity as K0 tends to zero.
For very large random variations, it is shown that the peak transmission loss value can be greatly diminished.
It called very large random samples of voters to develop statistical models that generated scores applied to all voters, which were then used for get-out-the-vote and persuasion targeting.
The bell curve model assumes a normal distribution among a very large group of random individuals, not small groups.
Our emphasis is on situations where a very large number of random variables is needed to model the coefficient field.
This can be seen in Table 4, where a very large number of random sample points (3000) were needed to ensure that the drains were adequately represented in the sample (324 or ~10%).
A theoretical baseline distribution can be built from a very large number of random sets combining allele frequencies from multiple loci.
First, we compared the significance of our results to those obtained from a very large number of random permutations, where SNP were chosen to be within the same distance (500 kb) from a randomly chosen set of 11 genes.
