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### The negative binomial distribution

The negative binomial distribution describes the probability of successes in a sequence of independent experiments each with likelihood of success of that arise before there are failures. In this interpretation is a positive integer, but the distributional definition can also be extended to real values of . Note: different texts adopt slightly different definitions, e.g. with support starting at not and/or with denoting probability of failure rather than probability of success.

 Distribution name Negative binomial distribution Common notation Parameters = number of failures ( ) = probability of success in each experiment ( ) Support Probability mass function If is non-integral then is: Cumulative distribution function Mean Variance Skewness (Excess) kurtosis Characteristic function Other comments The geometric distribution is the same as the negative binomial distribution with parameter . Its pdf and cdf are therefore:  For the special case where is an integer the negative binomial distribution is also called the Pascal distribution. The Poisson distribution is also a limiting case of the negative binomial: Nematrian web functions

Functions relating to the above distribution may be accessed via the Nematrian web function library by using a DistributionName of “negative binomial”. For details of other supported probability distributions see here.