Sentence examples for binomial distribution to infer from inspiring English sources
We next analyzed the full and sampled datasets with DESeq, a variance-analysis package that uses a model based on the negative binomial distribution to infer statistically significant differences in gene-expression from RNA-Seq data [ 32].
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.
