Sentence examples for binomial distribution to the from inspiring English sources

For many other efficient codes, we have to fit the parameters of a model (e.g., the binomial distribution) to the distribution of gaps in the index.

The negative binomial estimates ((hat {theta }=239.7812) and (hat {mu }=6.1100)) demonstrate the convergence of the negative binomial distribution to the Poisson model as θ→∞ in order to address the limiting case of analyzing equi-dispersed data.

We conducted analysis of the differential abundance of OTUs in different samples by fitting a local regression model with a negative binomial distribution to the data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) and in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

a — Differential abundance of OTUs in the earliest diverged Oryza species rhizosphere was assessed by fitting a local regression model with a negative binomial distribution to the sequence count data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

Differential abundance of OTUs in cultivated or wild rice rhizosphere was assessed by fitting a local regression model with a negative binomial distribution to the data and testing for differential abundance with a likelihood ratio test as implemented in the R package DESeq2 (Love et al. 2014) in conjunction with the Phyloseq package (McMurdie and Holmes 2013).

We next fit the negative binomial distribution to the transmission data and to various data subsets according to patients' circumstances.

We used generalised linear models with a binomial distribution to estimate the association between the exposure and the outcome analysing men and women separately.

At each depth, PPP counts the numbers of genomes agreeing ('YES') and disagreeing ('NO') with the query profile and uses the binomial distribution to score the odds of obtaining at least that many agreements.

Given a pool with s of n reads with the alternate allele, we used the binomial distribution to compute the probability of observing s or fewer successes in n trials with success probability.

Another limitation of the multivariate models presented here is that they rely on the normal approximation to binomial distribution to incorporate the within-study correlations in the model.

We can use the binomial distribution to solve the problem.