The negative binomial distribution is a probability distribution used to model count data. It is particularly useful when the data show overdispersion, meaning that the variability in the data is greater than what would be expected under a Poisson distribution. The NBD can be parameterized using two parameters: the mean (μ) and the dispersion parameter (κ), which accounts for the extra variability.
