This class models the geometric distribution with a specified success parameter. This is the distribution that governs the trial number of the first success in a sequence of Bernoulli trials. The class has methods for getting and setting the success probability. The class inherits methods from the parent NegativeBinomialDistribution and Distribution classes for computing the probability density function, 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 object 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.