Binomial[n, m] gives the binomial coefficient ( { {n}, {m} } ).
BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.
BetaBinomialDistribution[\[Alpha], \[Beta], n] represents a beta binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n binomial trials.
NegativeBinomialDistribution[n, p] represents a negative binomial distribution with parameters n and p.
BetaNegativeBinomialDistribution[\[Alpha], \[Beta], n] represents a beta negative binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n ...
QBinomial[n, m, q] gives the q-binomial coefficient (n; m)_q.
MultinomialDistribution[n, {p_1, p_2, ..., p_m}] represents a multinomial distribution with n trials and probabilities p_i.
NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.
LinkFunction is an option for GeneralizedLinearModelFit that specifies the link function for the generalized linear model.
Bounded domain distributions naturally come up when random variables should only vary in a finite interval. Some distributions, like beta, occur in a variety of ways, ...