Multinomial distribution

In probability theory, the multinomial distribution is a generalization of the binomial distribution. For example it models the probability of counts for rolling a k sided dice n times. For n independent trials each of which leads to a success for exactly one of k categories, with each category having a given fixed success probability, the multinomial distribution gives the probability of any particular combination of numbers of successes for the various categories.