represents a negative multinomial distribution with parameter n and failure probability vector p.
- The probability for a vector of non-negative integers , , …, , where is the length of in a negative multinomial distribution, is proportional to .
- The parameter n can be any positive real number, and p can be any vector of non-negative real numbers that sum to less than unity.
- If n is a positive integer, NegativeMultinomialDistribution[n,p] gives the distribution of the failure counts in a sequence of trials with success probability 1-Total[p] and Length[p] types of failure before n successes occur.
- NegativeMultinomialDistribution can be used with such functions as Mean, CDF, and RandomVariate.
Introduced in 2010