Sentence examples for binomial distribution to assign from inspiring English sources

We use sequencing coverage modeled as a Poisson distribution and minor allele frequency (MAF) modeled as a binomial distribution to assign digitized copy numbers to each CNV event.

We used a negative binomial distribution to determine the number of F2 offspring assigned to each F1 fish (including 0; see histogram in top-right corner of panel B in this box).

Frequency distribution was compared to binomial distribution to evidence the phase separation and atom clustering.

We have devoted two lines in Table 9 to the binomial distribution to illustrate its inaccuracy.

It uses a negative binomial distribution to model total variation.

We used normal approximation of binomial distribution to construct confidence intervals (CI) for each indicator.

Finally, we used a negative binomial distribution to estimate the statistical significance of the peaks.

We used generalized linear mixed-effect models (GLMM) with binomial distributions to analyze our data set.

Thus, we developed a model that uses a negative-binomial distribution to approximate an overdispersed Poisson distribution.

Arbous and Sichel ([1954]) used the negative binomial distribution (NBD) to fit the data.

When α = 0, the negative binomial distribution simplifies to the Poisson distribution.