Sentence examples for using the binomial counting from inspiring English sources

In our simulations, the Poissonian arrivals are generated using the Binomial counting process by generating a binary random event with a probability of within a small time duration of, as described in [46, Sectio 21.3], which converges to a Poissonian process as with.

The 95% confidence intervals (CIs) for our penetrance estimates were calculated using the binomial CI for case and control counts calculated by the Clooper Pearson exact tail area method.

Simulations with a maximum count of 1000 or more were accelerated using the binomial tau-leap method [ 33, 34].

CIs were estimated using the binomial exact.

We can use the binomial distribution to solve the problem.

In a few cases, we used the Binomial test (http://home.clara.net/sisa/binomial.htm).htm

However, bias associated with such occurrences can be removed by using binomial photon counting.

We compared differences in two year moderate and severe exacerbation counts by using the negative binomial model, 30 correcting for age, sex, MRC score above 2, exacerbation rate in the year before baseline, and clustering of patients per practice.

Smoothness of expression dynamics is enforced by the GP prior, and agreement of expression dynamics with the read count data is quantified using the negative binomial likelihood.

We performed statistical analysis to identify differentially expressed genes for each comparison using the negative-binomial model of read counts as implemented in the Biocondoctor DESeq package (Anders and Huber 2010).

CI was estimated using the exact binomial.