The C point latent negative binomial distributions are specified as f j ( y i ) = Γ ( y i + ψ j, i ) Γ ( ψ j, i ) Γ ( y i + 1 ) ψ j, i λ j, i + ψ j, i ψ j, i λ j, i λ j, i + ψ j, i y i (3).
We conclude that the zero-inflated negative binomial (ZINB) model, in which the parent distribution is specified to follow a negative binomial distribution as in equation (6), is the best fit for our data.
The sample is drawn without replacement, so, strictly speaking, the binomial distribution is not applicable.
Negative binomial distribution was used for curve fitting.
A standardized binomial distribution is a binomial distribution scaled and translated so that it has zero mean and unit variance.
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.
Thus, the binomial distribution is a generalization of the Bernoulli distribution.
Binomial distribution is a fundamental statistical assumption about sampling process.
A binomial distribution was used.
