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The probability parameter for the binomial distribution is formed by the expected frequency of the transgene in the population, which is a result of introgression, migration and selection.

A standardized binomial distribution is a binomial distribution scaled and translated so that it has zero mean and unit variance.

Thus, the binomial distribution is a generalization of the Bernoulli distribution.

Binomial distribution is a fundamental statistical assumption about sampling process.

An extension of the binomial distribution is the beta-binomial distribution.

The final forms of this variance and the 95% CI using a normal approximation to the binomial distribution are shown below.

A Bernoulli (binomial) distribution was used for presence/absence models and a Poisson distribution for count models.

Negative binomial distribution was used for curve fitting.

Also, note that k* values obtained from binomial distribution are smaller than from hypergeometric distribution.

A binomial distribution was adopted as the error distribution with a logit link function.

A binomial distribution was used.