This class models the negative binomial distribution with specified successes parameter and trial parameter. The class has methods for getting and setting the parameters and for computing the probability density function. The class inherits methods from the parent Distribution class for computing the mean, variance, moments, distribution function, quantile function, generating function, and simulated value. Some of these methods are overridden to implement closed formulas or better algorithms. This distribution is used, for example, in the negative binomial experiment.
The text area below gives the code for this object, so that you can browse the constructors, methods, and properties of the object. Of course, this source file is part of distributions.zip, which contains the source and resource files for all objects in the distributions class.