Sentence examples for using the binomial error from inspiring English sources

Table 2 Summary of the best generalized linear mixed effect models fitted to species-specific relative bat activity (BAP) and foraging activity (FAP) using the binomial error distribution.

Since both response variables are proportions, we used the binomial error distribution with the logit link in all following generalized linear mixed effects models (GLMMs).

We have demonstrated that the distribution of nucleotide differences obtained in the application of the PCR cloning method to multigene families is highly consistent with the expected distribution of sequencing errors estimated using the binomial distribution.

The expected frequency distribution of sequences showing specific numbers of errors was calculated using the binomial distribution.

DESeq tests for differential expression within a generalized linear model framework using the negative binomial error distribution to model transcript abundance.

Variant calls were made based on the binomial error model used by Eriksson et al. [ 40], with modifications to address the non-uniformity in sequencing error rate measured with ORP mismatch rates.

The proper model for such data is a generalized linear mixed model that treats the binomial errors using a logit link function [ 11].

The spot check data for mating rate were modeled using a binomial error distribution as the number of mating opportunities (e.g., the number of females in each treatment × the number of spot checks) taken vs. not taken.

We therefore analysed seedling germination patterns with a generalised linear mixed-effects model with penalised quasi-likelihood (hereafter GLMM) (glmmPQL function in R.2.4.1, using the MASS library [36]), with plateau, distance, propagule, cage and Time as fixed effects, maternal tree as a random effect, and using a binomial error structure.

Survival was modeled using a binomial error distribution.

Models 2 and 4 were fitted using a binomial error structure and logit link function.