Sentence examples for binomial distribution to deduce from inspiring English sources
Both tools assume a negative binomial distribution to deduce statistically significant differences in read count for the same feature under different environmental conditions.
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.
