mnbinrnd 1.0

In many experimental settings in the life sciences, aggregated count data needs to be analyzed, for example, the number of mites on leaves of a tree, or the number of parasites found in hosts. This data is often well-described by a negative-binomial distribution. Although Matlab's statistical toolbox has negative-binomial functions, they are parametrized for a limited form of the distribution based on the expected number of Bernoulli events needed to achieve a number of successes. The parameters are the event probability, P, and a positive integer aggregation constant, R, the number of successes. The more general form is parametrized with a mean count W and an aggregation K. W and K are related to the traditional parameters P and R by the expressions: P = K/(K + W) and K = R, with the distinction that K is any positive real number, not just positive integers. Here I provide two functions for the more general form, a generator MNBINRND and a density function MNBINPDF.Requires the Statistics Toolbox

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Achieve,  Aggregation,  Constant,  Event,  Events,  General,  Integer,  Needed,  Positive,  Probability
Users rating:	0/10